Agentic AI Engineer Senior - 4 to 7 Years

Responsibilities

Design and deliver scalable backend services and generative AI solutions including RAG and agentic workflows. Collaborate across cloud, data, and security teams to build enterprise-grade AI applications that connect users with business systems.

Requirements

Requires 4 to 10 years of software engineering experience with strong expertise in Node.js, TypeScript, and distributed systems. Candidates must have hands-on experience with LLM integrations, Azure cloud services, and AI agent orchestration.

Skills

• Node.js
• NestJS
• TypeScript
• Generative AI
• Azure OpenAI
• Retrieval-augmented generation
• Agentic workflows
• Model Context Protocol
• Azure Kubernetes Service
• Cosmos DB
• REST APIs
• Microservices
• Distributed systems
• Prompt engineering
• Docker
• OAuth

Benefits

• Opportunities to innovate in fintech
• Tools for personal and professional growth
• Internal career growth opportunities
• Inclusive and diverse work environment
• Resources to invest in your community

About this role

Every day at FIS, innovators, problem solvers and changemakers work together to create technology that advances the world of finance. We embrace new ideas, challenge what's possible and empower our teams to make a lasting impact. If you're ready to help shape the future of fintech, unlock your next chapter with FIS.

Role location
Hybrid (two days in-office, three days virtual).

About the role
FIS is seeking a Senior Software Engineer, GenAI Platform to help build and evolve FIS Concierge, our enterprise generative artificial intelligence platform. In this role, you will design and deliver scalable backend services while developing advanced AI capabilities including large language model integrations, retrieval-augmented generation, agentic workflows, and Model Context Protocol integrations. You will work across cloud, data, security, and platform technologies to create reliable, enterprise-grade AI solutions that connect users with knowledge, systems, and business applications.

Your key responsibilities

Design, develop, and maintain scalable backend services, application programming interfaces, and microservices using Node.js, NestJS, and TypeScript.
Build production-ready generative AI solutions, including retrieval-augmented generation, AI-powered search, prompt orchestration, tool calling, and agent-based workflows.
Develop agentic solutions and Model Context Protocol integrations that connect AI capabilities with enterprise systems, APIs, and knowledge repositories.
Implement cloud-native solutions using Microsoft Azure services including Azure OpenAI, Azure AI Search, Cosmos DB, Storage, and Azure Kubernetes Service.
Contribute to architecture design, code reviews, continuous integration and delivery processes, production support, troubleshooting, and platform optimization.

What you bring

Required qualifications
4 to 10 years of software engineering experience with strong hands-on expertise in Node.js, NestJS, TypeScript, REST APIs, microservices, and distributed systems.
Experience integrating large language models and generative AI platforms, preferably Azure OpenAI or OpenAI, including prompt engineering and retrieval-augmented generation architectures.
Experience building AI agents, tool-calling workflows, multi-step orchestration, and Model Context Protocol client, server, or tool integrations.
Strong experience On RAG, Agentic AI, MCP, LLM, Vector DB with Microsoft Azure services, including Azure OpenAI, Azure AI Search, Cosmos DB, Storage, Azure Kubernetes Service, and NoSQL data technologies.
Knowledge of enterprise security and modern authentication patterns, including OAuth, OpenID Connect, JSON Web Tokens, Security Assertion Markup Language, Microsoft Entra ID, Azure Active Directory, and Okta, along with experience using Docker, Kubernetes, and continuous integration and delivery practices.

Preferred qualifications

Experience with AI evaluation frameworks, groundedness and relevance assessment, observability tools, or responsible AI controls.
Experience with Microsoft Graph and Microsoft 365 integrations.
Familiarity with frameworks such as Semantic Kernel, LangGraph, LangChain, Vercel AI SDK, or OpenAI Agents SDK.
Experience building enterprise knowledge platforms, AI-powered search solutions, or multi-tenant AI applications.

The impact you’ll make
As a Senior Software Engineer, GenAI Platform, you will help shape the future of AI-powered experiences at FIS by building foundational capabilities for FIS Concierge. Your work will enable secure, scalable, and intelligent interactions across enterprise knowledge and business systems. You will collaborate with engineering teams to accelerate innovation, improve productivity, and deliver practical generative AI solutions that create value across the organization.

What we offer you

Ready to build what's next? At FIS, you'll have the opportunity to grow your career, contribute your ideas, and help create technology that powers the global economy.
Our benefits include:
Opportunities to innovate in fintech
Tools for personal and professional growth
Internal career growth opportunities
Inclusive and diverse work environment
Resources to invest in your community
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.
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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About FIS

IT Services and IT Consulting · 10,001+ employees