Engineer Lead, Artificial Intelligence / Machine Learning (GitHub copilot)

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 pivotal role in driving the enterprise rollout of GitHub Copilot across the Services organization and building AI agents and agentic workflows that accelerate software delivery.
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
8+ years of overall experience, with 4+ years working on AI / GenAI / Agentic AI
Experience designing and building applications using GitHub copilot
Experience in driving GitHub adoption across enterprise
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
Strong 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
Skills
Strong hands-on experience with Large Language Models (LLMs) and GitHub copilot.
Familiarity with LangChain, Langgraph,LlamaIndex, Autogen, or OpenAI Assistants API
Strong 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
Qualifications
Bachelor’s degree in engineering or related field or the equivalent combination of education, training, or work experience
Competencies
Fluent in English
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.
Attention to detail – track record of authoring high quality documentation.
Organized approach – manage and adapt priorities according to client and internal requirements.
Self-starter but team mindset - work autonomously and as part of a global team
What we offer you
A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
A broad range of professional education and personal development possibilities – FIS is your final career step!
A competitive salary and benefits
A variety of career development tools, resources and opportunities
Privacy Statement
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Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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