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Forward Deployment Engineer Principal

Role overview

Qualifications

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

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
  • Integrate AI agents into existing enterprise systems, APIs, and data sources
  • Own AI solutions end-to-end — prototyping, deployment, iteration, and handoff into operations

About the company

FIS logo

FIS

Financial Services

FIS is at the heart of the commerce and financial transactions that power the world’s economy. We are passionate about helping businesses and communities thrive by advancing the way the world pays, banks and invests, serving more than 20,000 clients and more than one million merchant locations in over 130 countries. For more information about FIS, visit http://www.fisglobal.com.

Company details

Company typeXLarge
IndustryFinancial Services
Company size10001

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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 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. 

  • 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, 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.

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 regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here


For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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