Jobs

We are a small, mission-driven team leading responsible AI adoption across City government within DT. We work on: Testing and making self-service AI tools available to other departments, Setting technical standards for safe and responsible AI use, and Building and experimenting with prototypes that demonstrate the potential of applied AI. As our Applied AI Engineer, your primary focus will be designing and backend AI cloud infrastructure needed to power AI services. This includes building ingestion pipelines, managing vector databases, integrating LLM APIs, and ensuring backend systems are reliable, observable, scalable, and safe. This role is hands-on, creative, and highly collaborative — ideal for someone who enjoys working at the intersection of technology, product, and impact.Key Responsibilities:Build and manage RAG infrastructure and other cloud tools as needed (e.g., ingestion pipelines, embedding services, retrieval APIs, orchestration).Deploy and maintain vector databases and integrate them with AI services.Develop APIs and backend services that connect prototypes to LLMs and retrieval systems.Implement observability practices including monitoring, logging, alerting, and performance metrics to ensure system reliability and transparency.Use frameworks like LangChain, LlamaIndex, and related libraries to orchestrate retrieval workflows, agents, and hybrid pipelines.Ensure system scalability and resilience, with production-ready practices.Collaborate with the AI Product Engineer to integrate backend services with front-end applications and user pilots.Contribute to standards for safe, responsible AI adoption (data governance, security, and compliance).Experiment with new backend, platform, and cloud tools to stay current with the fast-evolving AI ecosystem.

Overview:
UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.
We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge:
As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry.

In this role you will:
• Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines.
• Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure.
• Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications.
• Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment.
• Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time.
• Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability.
• Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies.

Required Skills:
• Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based m

About the position

Dynasty Financial Partners is building AI-powered systems that directly support advisors, operations teams, and client-facing platforms. We are looking for an AI Engineer to design, build, and operate production-grade AI systems — including LLM-powered agents, RAG pipelines, and evaluation frameworks — that are secure, reliable, and measurable in real business impact.
You will work closely with product managers, data engineers, and software engineers in an agile environment, owning AI solutions end-to-end: from architecture and experimentation through deployment, monitoring, and iteration. This role reports to the Director of Engineering.

Please Note: This job is an IN-OFFICE position located in St. Petersburg, FL. If you are unable or unwilling to fulfill this requirement of the position, please refrain from applying

Responsibilities
• Collaborate & Innovate: Work closely with internal stakeholders, product managers, data engineer, and software engineers to identify opportunities for AI automation. Communicate complex AI system behaviors and limitations to non-technical stakeholders. Stay up-to-date with the latest advancements in LLMs, agent frameworks, and AI orchestration tools, continuously bringing new ideas to improve our multi-agent systems.
• Design & Orchestrate AI Agents: Develop and implement complex multi-agent workflows to solve business problems, using orchestration frameworks to coordinate LLM-powered agents and tools. This includes defining agent roles, interaction logic, and QA processes.
• Design RAG Pipelines and build Knowledge Systems: Work with our Data Engineering team to build and optimize RAG pipelines to give AI agents access to knowledge.
• Integrate & Deploy Solutions: Work with engineers to integrate AI agents into our products and workflows.
• Monitor & Safeguard AI Performance: Establish evaluation frameworks to continuously assess and improve agent performance (accuracy, relevance, response time). Implement auto

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As an AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.

Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.

Apply architecture decisions that balance quality, safety, latency, cost, and model risk.

Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.

Design extensible functionality, support sprint sizing, and align solutions with senior team members.

Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

The team

AI & Engineering leverages cutti

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.

Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.

Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterpris

Here at Spellbrush , we're passionate about making a good anime game.

We also happen to be the world's leading generative AI studio — we're the team behind niji・journey.

We are currently investigating how AI can be used to help human artists perform masterpieces in the most complex medium of our times: videogames.

Our games are characterized by a no-compromise approach to well-balanced gameplay married to a truthful love of visual arts.

If you love turn-based tactics games, please consider applying!

The Role:

Spellbrush, the world’s leading generative AI studio behind_ niji・journey __ , _ is looking for an LLM Prompt Engineer to bring the characters and world in our mobile turn-based tactics game to life with distinctive flair! If you love games like Fire Emblem and Final Fantasy Tactics and are eager to utilize Generative AI to create evocative gameplay experiences, please apply!

What you’ll do:
• Become the power user and wizarding wordsmith of our LLM models, coaxing out new turns of phrase, emotional responses, and vivid imagery through imaginative prompt engineering.
• Deeply understand our next flagship game’s core narrative, themes, and character motivations and conflicts – then translate these elements into elegant LLM prompts.
• Work with our Creative Director to develop new systems for enabling our game’s characters to freely express themselves in the native game platforms where they interact with players.
• NOTE: You do not need to be currently involved in LLM research or an AI / ML expert to apply - we highly value your writing and creative ability.

You might be a great fit if:
• You endeavor to use LLM’s to revolutionize character communications.

A familiarity with text-based Generative AI and LLM is definitely handy, but moreso than that you understand that LLM’s are working off of datasets and training, and that your finesse in guiding the models will produce outstanding delights of diction.
• You’re eager to push the boundaries of written an

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Opportunity

We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.

As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.
What You'll Do as a Staff Engineer on Our Auggie Platform Team

Here are examples of the kinds of initiatives you'd work on today:

Multi-agent orchestration and execution. Design and build the core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production — not chatbot interactions, but structured multi-step operations running across real business data.

Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with structured data models, conditional logic, and human-in-the-loop review queues that keep autonomous systems safe and reli

About the Company

At Twenty, we're taking on one of the most critical challenges of our time: defending democracies in the digital age. We develop revolutionary technologies that operate at the intersection of the cyber and electromagnetic domains, where the speed of operations exceeds human sensing and complexity transcends conventional boundaries. Our team doesn't just solve problems – we deliver game-changing outcomes that directly impact national security. We're pragmatic optimists who understand that while our mission of protecting America and its allies is challenging, success is possible.

Role Summary

You’ll build and ship language-model-powered systems that strengthen Twenty’s mission-critical cyber capabilities for U.S. national security. You’ll own the end-to-end workflow—from curating specialized datasets and post-training models to deploying reliable inference and retrieval systems in production. You’ll partner closely with product and engineering to translate real operational needs into high-performing AI features, operating across cloud and on-premises environments where speed, correctness, and security matter.
Who You Are
• You’re motivated by real-world outcomes and want your work to directly impact national security missions.
• You care about rigor: clean data, measurable evaluation, and repeatable experiments beat demos.
• You balance research curiosity with product instincts—you ship, observe, iterate, and harden.
• You’re comfortable working across cloud and on-premises constraints and adapting to the environment.
• You communicate clearly with engineers and non-ML partners, and you write documentation people use.
• You think in systems: models, retrieval, infrastructure, and feedback loops all have to work together.
• You thrive in fast-moving teams with high standards, direct feedback, and high ownership.

What You’ll Do
• Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases.
• Fine-tune lang

About the position

At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients—at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world’s leading biopharma companies, translating cutting-edge AI research into real scientific and business impact About the Role: As a Senior Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK’s R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise. This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK’s approved.

Responsibilities
• Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co-design prototypes and proof-of

At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state-of-the-art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects.
The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML-related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting-edge AI research into real scientific and business impact

About the Role:
As a Senior Applied AI Engineer, you will be embedded within cross-functional teams to deliver practical, high-impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI-powered tools that accelerate drug discovery, improve decision-making, and enable responsible use of AI across the enterprise.
This role is hands-on and consultative in equal measure. You will evaluate use-case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved.

Key Responsibilities:

Advisory & Solution Design
• Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts.
• Co-design prototypes and proof-of-concepts (Po

Become a part of our caring community and help us put health first
Become a key driver in shaping the future of AI-powered healthcare. We are looking for a Principal Applied AI Engineer, a technical leader who thrives in ambiguous, high-impact environments and is motivated by solving real problems with pragmatic, elegant, and scalable solutions. This position reports into the AI platform team, ensuring close alignment with platform strategy and delivery. It is for someone who wants autonomy, influence, and the responsibility of setting a high bar for engineering excellence.

Become a key driver in shaping the future of AI-powered healthcare. We are looking for a Principal Applied AI Engineer, a technical leader who thrives in ambiguous, high-impact environments and is motivated by solving real problems with pragmatic, elegant, and scalable solutions. This position reports into the AI platform team, ensuring close alignment with platform strategy and delivery. It is for someone who wants autonomy, influence, and the responsibility of setting a high bar for engineering excellence.

WhatYou'llDo
• Lead the design and build of advanced generative AI systems,spanning LLM-powered applications, multi-agent workflows, RAG, and domain-specific reasoning engines.
• Architect and own robust APIs and platform capabilities that bring AI toreal businessworkflows at enterprise scale.
• Drive the engineering of high-quality data,feature, and evaluation pipelines that support reliable and continuously improving AI behavior.
• Partner with data scientists, platform engineers, and product leaders to transform conceptual ideas into resilient, testable, observable production systems.
• Set engineering standards and elevate team culture, emphasizing clarity, craftsmanship, iteration, and objective measures of excellence.
• Mentor other engineers and guide teams through complex technical decision-making.
• Serve as a thought leader on the practical application of generative AI technologie

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

This is a hybrid role based in our New York office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

AI Engineers at Collibra are responsible for
• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have
• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, quer

Job Title: Lead AI Engineer – AI Foundations, LLM Core & Agentic AI

Location- Remote

Role Summary

We are seeking a Lead AI Engineer to drive the design and development of advanced AI systems, with a focus on foundational models, Large Language Models (LLMs), and agentic AI frameworks. This role will lead the architecture and deployment of scalable, production-grade AI solutions that power intelligent automation and next-generation applications.

Key Responsibilities
• Lead the design and development of AI/ML systems with a focus on LLMs and agent-based architectures.
• Build and optimize pipelines for training, fine-tuning, and deploying large language models.
• Architect AI platforms supporting retrieval-augmented generation (RAG), embeddings, and vector databases.
• Develop and manage agentic workflows, orchestration layers, and multi-agent systems.
• Integrate AI capabilities into enterprise applications via APIs and microservices.
• Ensure scalability, performance, and reliability of AI systems in production.
• Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.
• Establish best practices for prompt engineering, model evaluation, and responsible AI.
• Implement monitoring, logging, and continuous improvement for deployed AI systems.
• Stay up to date with advancements in generative AI, LLM frameworks, and tooling.

Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 7–10+ years of experience in software engineering/AI engineering, with strong hands-on expertise in ML systems.
• Deep understanding of:
• Large Language Models (LLMs) and transformer architectures
• NLP, embeddings, and semantic search
• Retrieval-Augmented Generation (RAG)
• Strong programming skills in Python (preferred) and experience with ML frameworks (PyTorch, TensorFlow).
• Experience with LLM ecosystems and tools (e.g., LangChain, LlamaIndex, vector DBs like Pine

• *Job Description: AI Agent Engineer**

(Agent Building Team)
• Role:

AI Agent Engineer
• Job Location:

New Jersey
• Word Mode:

Hybrid
• Experience:

4+ years
• *About the Role**

We are looking for an AI Agent Engineer to join client’s Agent Building team to develop intelligent agents and business applications consuming the Enterprise AI Platform, with a focus on agent orchestration, evaluation frameworks, and domain-specific workflows using platform primitives.
• *Key Responsibilities**

· Build agents using AWS Strands SDK, Bedrock AgentCore SDK, and CrewAI orchestration

· Develop agent logic and troubleshooting using strong Python skills

· Implement comprehensive evaluation frameworks for model performance and RAG quality

· Create backend services with Python and integrate with platform APIs

· Build frontend experiences using React JS and Node JS frameworks

· Manage source code with Git/Bitbucket using agile development practices

· Design and debug agent behaviors for production reliability and business outcomes

· Integrate domain-specific RAG pipelines and evaluation metrics

· Consume platform services (gateways, MCP tools, observability) following security patterns
• *Required Skills & Qualifications**

· 4+ years Python development with AI/ML frameworks (CrewAI, LangChain, or equivalent)

· Hands-on experience building production agents with Bedrock AgentCore SDK, Strands SDK/CrewAI

· Strong evaluation framework development (LLM judging, RAG metrics, agent success criteria)

· Full-stack development experience (React JS frontend, Node JS/Python backend)

· Agent debugging and observability skills for complex multi-agent workflows

· Experience consuming enterprise API platforms (REST/GraphQL/OAuth2) securely
• *Nice to Have**

· Domain expertise in financial services use cases for agentic AI

· Multimodal agent development (text + image/audio processing)

· Previous CrewAI production deployments with custom tools and memory management
• Integers.

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Work you'll do

As a Senior AWS AI&Data FDE, you will work side by side with senior functional and technical client team members to rapidly prototype and deliver high-impact GenAI-enabled solutions. This requires a highly motivated practitioner who moves with speed and precision, building working software, engaging confidently with senior stakeholders and engineers to bring measurable business impact from day one. Additional responsibilities include:

Client Engagement

Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.

Partner with leaders, product owners, architects, and engineers to align priorities and delivery.

Lead working sessions to shape solutions and drive client outcomes.

Prototype and deliver working AI solutions using industry expertise and emerging capabilities.

Contribute independently within an FDE pod while mentoring newer team members.

Coach client teams and end users on platform capabilities and AI enablement, while building trusted relationships, managing expectations, and supporting long-term engagement success.

Drive end-to-end sales and delivery support by developing demos/POCs, contributing to proposals and orals, articulating business value, and documenting solutions for smooth client handoff and knowledge transfer.

Strengthen team and organizational impact by mentoring other FDEs through design/code reviews and feedback, while contributing reusable components to intellectual capital.

Solution Engineering

Build AI-enabled solutions, agentic platforms, and workflows across enterpris

About SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

About the RoleWe're looking for a highly accomplished and senior-level Forward Deployed Engineer with 5+ years of experience to lead the charge on complex AI agentic deployments. This role demands a seasoned technologist and strategic partner who can not only design and develop bespoke solutions leveraging our Agentforce platform and other cutting-edge technologies but also lead technical engagements and mentor junior peers. You'll be the primary driver of transformative AI solutions, operating with deep technical mastery, unparalleled problem-solving prowess, and a relentless focus on delivering tangible value in dynamic, real-world environments, from initial concept to successful deployment and ongoing optimization.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.

Your ImpactDrive Tangible Outcomes through Hands-On Implementation: Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding

We are:

The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients’ transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.

Stronger together!

The Advanced Technology Centers (ATCs) make a tremendous impact in solving our clients’ business problems by leveraging innovation, intelligence, industry insights, new IT, and new technology skills. With the global environment changing at a faster pace, our clients are facing unprecedented challenges, and they need us more than ever before. As a Network, ATCs are positioned to unlock greater opportunities and exponential value for our clients.

The value for our clients and our people:

For our clients, the Network provides the strength of our geographic diversity, greater resilience, and seamless access to the deepest industry knowledge, the latest in Gen AI solutions, and tech expertise from around the world.
For our people, it brings an opportunity to shape truly boundaryless career paths in a highly collaborative team of experts where they can learn from each other and solve the world’s most complex client challenges.

You Are

An AI Native Engineer with strong experience building cloud-native solutions and deep expertise in designing and deploying agentic systems for enterprise environments. You thrive in ambiguity and deliver concrete results by designing, building, and running custom AI agents that augment workflows and scale across modern infrastructure.

The Work

You will embed directly with clients as both technologist and trusted advisor. You will partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains.

Responsibilities

Design and engineer enterprise-ready AI agents encompassing retrieval, orchestration, policy-based routing, tool in

About the position

The VMware Cloud Foundation Division enables organizations around the world to run their business critical and modern applications in a secure, resilient, and cost-efficient manner. With our flagship product VMware vSphere, and our industry-leading technologies including vSAN, NSX and Aria, Broadcom customers receive the scale and agility of a public cloud with the security and performance of a private cloud. Modern infrastructure, accelerated application innovation, and predictable TCO savings and investment returns are just a few of the benefits from having a private cloud infrastructure powered by VMware Cloud Foundation. Together, our bold group of technology professionals with diverse backgrounds – spanning engineering, products, marketing, partners, professional services, and global support services – is focusing on what can be for the largest enterprises, governments, financial services, healthcare, manufacturing and educational institutions of the world.\n\nElevator Pitch\nLarge language models (LLMs) have rapidly evolved from simple assistive tools into sophisticated agents capable of driving multi-system workflows and taking on complex knowledge work. As enterprises deploy AI across business critical environments to boost productivity, these modern workloads will require highly optimized, scalable, and resilient infrastructure. The AI and Advanced Services team within the VMware Cloud Foundation (VCF) Division is seeking a highly skilled Applied AI Engineer. Working at the intersection of research and product engineering, you will help enable AI workloads to run seamlessly on VCF. This role requires a unique blend of deep AI expertise, hands-on experience with on-premise and cloud infrastructure, and cross functional collaboration to drive product outcomes. You will join a global team of senior engineers and technologists responsible for VCF's AI IaaS platform. By collaborating closely with product, engineering, and AI platform teams, y

About Rivian

Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.

Role Summary

Join the Enterprise Applied AI team to build and ship production AI experiences and platforms that help internal teams work smarter and faster. As an AI Engineer, you will contribute across the stack, from data pipelines and retrieval to prompt/agent logic, evaluation/guardrails, and serving. You will collaborate closely with partners across Operations, Product, Sales, Customer Service, Finance, HR, and other internal teams to understand needs and deliver practical solutions that create tangible business value. You will develop responsibly, partnering with governance stakeholders on privacy, security, compliance, and safety.

Responsibilities

Build features and services across the AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.Implement robust data processing and integration pipelines to enable high-quality AI applications and analytics.Contribute to design docs, code reviews, testing, and operational playbooks to ensure reliability, maintainability, and resilience.Partner with product and business stakeholders to define requirements, iterate quickly, and measure outcomes using clear success metrics.Instrument telemetry and evaluation to monitor quality, safety, latency, and cost; improve performance based on data.Follow responsible AI practices for security, privacy, compliance, and safety in collaboration with governance teams.Participate in on-call and inc

About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.

Job Summary

As we build to the next level, we’re looking for a top-quality AI engineer with a strong focus on AI agents - someone who knows how to leverage LLMs, both open-source and closed, in combination with complex tool-calling hierarchies and operational patterns.

This is an opportunity to build scalable, secure, and high-impact AI technologies for the future of enterprise. If you thrive in high-growth, fast-moving environments and are passionate about AI, ML, and AI agents, we want to hear from you.

Key Responsibilities

1. AI Agent Building (60%)
• Develop complex multi-step agentic pipelines around open- and closed-source LLMs.
• Build tools enabling AIs to interact with critical enterprise software platforms.
• Ensure AI designs align with business objectives and industry best practices.​

2. ML development and fine-tuning (30%)
• Create data generation and processing pipelines to train and fine-tune custom ML models.
• Implement and manage training and evaluation pipelines for LLMs.

3. Deployment and AI Systems Infrastructure (10%)
• Manage AI infrastructure across platforms such as AWS, Azure, or GCP.​
• Deploy inference endpoints and serve AI and LLM technologies as part of our core product infrastructure.

Required Qualifications
• Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field.​
• 5+ years of experience in software engineering, platform engineering, or related roles.​
• P

JOB DESCRIPTION

Job Summary

Designs and builds company specific enterprise application systems and technology expertise across multiple disciplines.

Applies and promotes key principles (e.g., stability, scalability, performance, security, compatibility, re-use), helping ensure a balance between tactical and strategic technology solutions. Considers business problems “end-to-end”: including people, process, and technology, both within and outside the enterprise, as part of any design solution. Promotes use of industry and enterprise technology standards. Monitors emerging technologies for potential application within or across the Corporation. Adheres to design and application development standards, methodology and, framework within Architectural compliance and governance.

KNOWLEDGE/SKILLS/ABILITIES
• Develops software (hands on code development) to meet key business objectives.
• Practices and leads SW and applications development methodologies in adherence to SW development standards.
• Designs and develops SW applications or systems solving specific business or processing problem (Web or Mobile).
• Gathers business requirements and develops conceptual design and technical design for multiple projects concurrently.
• Reviews computer system capabilities, work flow and scheduling limitations to determine if requested program or program change is possible within existing system.
• Conducts peer review of other developers (internal and contract staff) to ensure standards and quality.
• Responsible for quality deliveries for self and application engineers. Participates in build vs. buy evaluation process.
• Leads architecture and design discussions in adherence to SW development standards.
• Provides design and architectural expertise on application systems / technologies, to both technical teams and business partners.
• Responsible to support the application system / service owner for system performance, budgeting, and planning.
• Responsible for application syste

We are looking for a driven AI Engineer to join our engineering team. In this role, you will focus on building, testing, and deploying autonomous AI agents and multi-agent systems. You will bridge the gap between traditional software engineering and modern Generative AI, working to enable LLMs (Large Language Models) to interact with external tools, APIs, and data sources.
• Equifax has a hybrid work schedule that allows for 2 days of remote work (Monday and Friday), with 3 days onsite (Tuesday, Wednesday, Thursday) every week.
• This role reports to our office in Alpharetta, Georgia
• This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
• This is a direct-hire role and is not open to C2C or vendors.

What you’ll do
• Design, develop, and operate high scale AI applications across the full engineering stack.
• Design, develop, test, deploy, maintain, and improve software that has AI / LLM integrations in it.
• Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.)
• Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
• Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit, globally distributed engineering team.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
• Research, create, and develop software applications to extend and improve on Equifax Solutions. Manage sole project priorities, deadlines, and deliverables.
• Collaborate on scalability issues involving access to data and information. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity

What experience you need
• Bachelor's degree or equivalent experience
• 5+ years of software engineering experi