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NEXTMOVEFDE careers · United States
Fidelity National Information Services

Forward Deployment Engineer Principal

AI summary of the role

FIS seeks a Forward Deployed Engineer Principal to embed with clients and build production AI/agentic solutions using LLMs, agent workflows, and modern AI tooling.

What you’ll do

  • Embed with clients to identify high-value AI and agentic use cases and turn them into production-grade solutions.
  • Rapidly design and build AI-powered POCs and POVs across the full stack — data pipelines, LLM/model integration, agent workflows, and application interfaces.
  • Integrate AI agents into existing enterprise systems, APIs, and data sources.
  • Own AI solutions end-to-end — prototyping, deployment, iteration, and handoff into operations.

What you’ll bring

  • Advanced expertise in AI/agentic solution deployment, systems integration, and technical delivery.
  • Hands-on experience with LLMs, RAG, and/or agentic frameworks (e.g., LangChain, LangGraph, or equivalent).
  • Strong programming or scripting skills (Python, Java, or similar).
  • Experience working with APIs, distributed systems, and cloud-based architectures.

Technologies

LLMs · RAG · LangChain · LangGraph · Python · Java · APIs · distributed systems · cloud-based architectures · MLOps · LLMOps · CI/CD

About Fidelity National Information Services

FIS provides core banking, payments, and capital-markets technology to banks, insurers, asset managers, and corporates worldwide, powering accounts, lending, treasury, and fund accounting.

Public · 5000+ people

Source and classification

Production engineering · Evidence for this classification:

Job Description About FIS 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 Role As a Forward Deployed Engineer, you are an embedded, AI-native engineer who works directly alongside clients to design, build, and ship AI and agentic solutions in production. This is not a traditional deployment or implementation role — you operate at the seam between business intent and applied AI, translating real client problems into working systems built with LLMs, agent workflows, and modern AI tooling. Success is measured by production AI adoption, measurable business outcomes, and how fast you can take a
More from the job description

Job Description About FIS 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 Role As a Forward Deployed Engineer, you are an embedded, AI-native engineer who works directly alongside clients to design, build, and ship AI and agentic solutions in production. This is not a traditional deployment or implementation role — you operate at the seam between business intent and applied AI, translating real client problems into working systems built with LLMs, agent workflows, and modern AI tooling. Success is measured by production AI adoption, measurable business outcomes, and how fast you can take a concept from proof-of-concept to live deployment. This position is open to remote within the U.S. This position may require 50% - 75% travel within the U.S. What You Will Be Doing Embed with clients to identify high-value AI and agentic use cases and turn them into production-grade solutions. Rapidly design and build AI-powered POCs and POVs across the full stack — data pipelines, LLM/model integration, agent workflows, and application interfaces. Integrate AI agents into existing enterprise sy [... source excerpt omitted ...] milar) Experience working with APIs, distributed systems, and cloud-based architectures. Proven ability to troubleshoot complex technical issues across multiple systems. Strong client-facing communication skills with the ability to translate AI capability into business value. Experience leading technical delivery across multiple projects or enterprise environments. Knowledge of security, data privacy, and compliance considerations for AI systems. Bachelor’s degree in computer science, engineering, or skills-based equivalent. Bonus if you have Experience in financial services, fintech, payments, or banking platforms. Experience with MLOps/LLMOps, evaluation frameworks, [... source excerpt omitted ...] I delivery. What we offer you A competitive salary and benefits. Varied and challenging work to help you grow your technical skillset. A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities. A modern, international work environment and a dedicated and motivated team. #LI-DS2 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. EEOC Statement FIS is an equal opportunity employer. We evaluate qualified applicants without

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