Software Engineer
Job Description About FIS Are you curious, motivated, and forward-thinking?
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 25% travel within the U.S. (subject to change)
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 systems, APIs, and data sources.
Own AI solutions end-to-end — prototyping, deployment, iteration, and handoff into operations.
Build in guardrails appropriate to regulated environments — human-in-the-loop review, logging, evaluation, and observability.
Partner with product and engineering teams to define success metrics and prove measurable AI-driven business impact.
Troubleshoot and resolve technical issues across AI systems, integrations, and environments.
Provide technical leadership and mentorship to engineers building AI-native delivery capability.
Document and contribute reusable AI patterns, accelerators, and lessons back into the broader engineering practice.
What you 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.
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.
Posted July 24, 2026