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
With a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions. We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe. FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.
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
FIS Online Privacy Notice.
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.
#pridepass
