FIS
financial services
EngineerLead,ArtificialIntelligence/MachineLearning(GitHubCopilot)
Neural analysis suggests this role is
optimal for Lead candidates.
“Engineer Lead, Artificial Intelligence / Machine Learning (GitHub Copilot) at FIS. Skills: Artificial Intelligence, Machine Learning, GenAI, Agentic AI, GitHub Copilot, Large Language Models (LLMs), Python, Agentic workflows, Prompt engineering. designing and delivering enterprise-grade applications powered by GitHub Copilot. building AI agents and agentic workflows that accelerate software delivery across the Services organization”
What You'll Achieve.
driving revenue growth; deliver significant cost savings
Industry & Context.
What They're Looking For.
Must Have
6+ years of overall experience, 3+ years working on AI / GenAI / Agentic AI, Experience designing and building applications using GitHub copilot, Experience in prompt engineering, Proven experience building agent-based systems, including planning, memory, tool usage, and orchestration, Hands-on experience implementing agentic workflows, including: Multi-agent collaboration, Human-in-the-loop systems, Semi-autonomous task execution, Experience integrating AI systems with enterprise platforms, APIs, repositories, and workflows, experience evaluating model, agent, and system behavior for accuracy, reliability, grounding, and safety, Experience with vector databases and retrieval systems, including RAG and hybrid retrieval patterns, Experience building and deploying REST services using Flask or FastAPI, Experience working with cloud platforms (Azure, AWS, or GCP) and AI/ML studios, hands-on experience with Large Language Models (LLMs) and GitHub copilot, proficiency in Python, Deep understanding of Agents & Agentic AI systems—including autonomous decision-making, tool/function calling, planning, and orchestration, Proficiency with prompting techniques, structured outputs, model routing, and context/memory management, Understanding of different model types: Proprietary (e. g. , GPT-class), Open-weight models, Embedding models, Multimodal models, Understanding of AI orchestration frameworks (conceptual level acceptable), Knowledge of model access and orchestration protocols such as Model Context Protocol (MCP) or similar abstraction layers, Ability to design systems that: Switch models, Route prompts, Manage context, memory, and toolchains, Experience evaluating GenAI systems (hallucinations, grounding, safety), Experience with ML/AI frameworks such as: scikit-learn, TensorFlow, PyTorch, Keras, pandas, Hands-on experience building RESTful APIs using Flask or FastAPI
Nice to Have
Experience with LLM fine-tuning, parameter-efficient tuning (LoRA/QLoRA), Working knowledge of production-grade MLOps (CI/CD, monitoring, observability), Experience with vector DBs like Pinecone, Chroma, Redis, Weaviate, or Milvus, Understanding of security, compliance, and data governance for GenAI systems
What You'll Do.
designing and delivering enterprise-grade applications powered by GitHub Copilot
building AI agents and agentic workflows that accelerate software delivery across the Services organization
enable hands‑on adoption of AI‑assisted engineering
establish prompt and agent standards
embed responsible AI practices into day‑to‑day delivery
How You'll Work.
Team & Collaboration
work closely with development, QA, and technical consulting teams; as part of a global team
Communication Scope
Excellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
Process & Methodology
Organized approach – manage and adapt priorities according to client and internal requirements
Full Job Description
Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. ** _About the team_** The **Client Office Custom Development CoE** team is a horizontal Center of Excellence for the Client Office, helping drive revenue growth and deliver significant cost savings by identifying, designing, and implementing **GenAI and Agentic AI solutions** at enterprise scale. The Client Office is one of the three major verticals at FIS, supporting a wide range of products and solutions across **funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk, electronic trading, RegTech, wealth, and retirement**. The team is composed of highly motivated **Product Engineers, Functional SME’s, QA’s, Architects** , **GitHub copilot** experts focused on embedding AI into real‑world delivery workflows. **_What you will be doing_** As an Artificial Intelligence / Machine Learning Engineer Lead, you will play a critical role in designing and delivering enterprise‑grade applications powered by GitHub Copilot, while building AI agents and agentic workflows that accelerate software delivery across the Services organization. You will work closely with development, QA, and technical consulting teams to enable hands‑on adoption of AI‑assisted engineering, establish prompt and agent standards, and embed responsible AI practices into day‑to‑day delivery ** _What you bring:_** _Knowledge / Experience_ * 6+ years of overall experience, with 3+ years working on AI / GenAI / Agentic AI * Experience designing and building applications using GitHub copilot * Experience in prompt engineering * Proven experience building agent‑based systems, including planning, memory, tool usage, and orchestration * Hands‑on experi
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