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 AI/ML CoE team is a horizontal CoE for Client Office that is helping us drive revenue and bring significant savings to our businesses by identifying, exploring, and implementing AI/ML solutions.
The Client Office is one of the three verticals in FIS. It has various products and solutions in funds management, cleared derivatives, commercial lending, corporate treasury, insurance risk electronic trading, RegTech, wealth and retirement etc.
The team consists of highly motivated solution architects, data scientists and ML engineers.
What you will be doing
As a Artificial Intelligence / Machine Learning Engineer Lead, you will be working on developing cutting-edge Gen AI and Agentic solutions across the organization.
What you bring:
Knowledge / Experience
- 10+ years of overall experience with 4+ years on AI/Gen AI/Agentic AI
- Designing and building GenAI-powered applications using LLMs (open & proprietary)
- Building agent-based systems with planning, memory, tool use, and orchestration
- Implementing Agentic workflows (multi-agent, human-in-the-loop, autonomous tasks)
- Integrating AI systems with enterprise platforms, APIs, and workflows
- Evaluating model, agent, and system behavior (accuracy, reliability, safety)
- Experience with vector databases and retrieval systems (RAG, hybrid retrieval patterns)
- Building and deploying REST services using Flask or FastAPI
- Experience working with cloud platforms (AWS, GCP, Azure) and AI Studios
Skills
- Strong hands-on experience with Large Language Models (LLMs).
- 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)
- Strong proficiency in Python.
- 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)
- Familiarity with LangChain, LlamaIndex, Autogen, or OpenAI Assistants API
- 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
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
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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