Artificial Intelligence / Machine Learning Engineer Lead (GenAI-powered

Artificial Intelligence / Machine Learning Engineer Lead (GenAI-powered applications)

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 A