Prompt Engineer

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.

Responsibilities

• Develop cutting‑edge Gen AI and Agentic solutions across the organization.

Requirements

Knowledge / Experience

• 10+ years of overall development/QA experience with 2+ years on AI/Gen AI/Agentic AI
• Designing high‑quality prompts for GenAI applications, including LLMs, multimodal models, and agent‑based systems
• Creating prompt frameworks for:
  • classification
  • summarization
  • extraction
  • transformation
  • reasoning
  • multi‑turn conversational flows
• Experience crafting prompts for tool‑calling, structured outputs (JSON), function invocation, and agent orchestration
• Building evaluation datasets and systematically measuring prompt performance (accuracy, grounding, safety)
• Experience working with retrieval‑augmented systems (RAG) and optimizing prompts for better retrieval behavior
• Understanding of LLM behavior, limitations, hallucination patterns, and mitigation techniques
• Designing domain‑specific prompt libraries for repeated tasks and workflows
• Experience working with enterprise AI systems, APIs, AI Studios, or orchestration frameworks
• Exposure to agentic AI concepts – planning, memory, tool use, autonomous actions

Skills

• Strong understanding of prompt engineering techniques (few‑shot, multi‑shot, Chain‑of‑Thought, self‑consistency, reasoning chains, ReAct patterns, instruction tuning, guardrail and safety prompt design)
• Ability to design and iterate prompts through data‑driven experimentation, A/B testing, model output evaluation
• Ability to work effectively with LLMs (open & proprietary), embedding models, multimodal models; understanding of context window management, memory optimization, and model routing
• Hands‑on experience with Python for experimentation, model probing, prompt evaluation automation
• Familiarity with AI frameworks such as LangChain, LlamaIndex, Autogen, or OpenAI Assistants API (nice to have)
• Good understanding of vector databases and retrieval pipelines
• Ability to translate ambiguous business problems into high‑quality prompts and workflows

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 with a team mindset – work autonomously and as part of a global team

Benefits

• 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