Forward Deployment Engineer Principal

FIS • Jacksonville, FL

2d

About The Position

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.

Requirements

• 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.
• Bachelor’s degree in computer science, engineering, or skills-based equivalent.

Nice To Haves

• Experience in financial services, fintech, payments, or banking platforms.
• Experience with MLOps/LLMOps, evaluation frameworks, and observability tooling.
• Familiarity with DevOps, CI/CD pipelines, and infrastructure automation.
• Experience with containerization or orchestration technologies.
• Prior consulting, forward-deployed, or solutions-engineering experience in AI delivery.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal