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Salary
≈ $25k – $51k per year (Estimated)
Location
In office (India)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. FIS scores A on the Alion truth index.

Overview
Company
Impact
Profile match

FIS

FIS is an American financial technology company founded in 1968 that supplies the core processing, payments and treasury software banks and corporations run their operations on. Its banking solutions business covers deposit and loan cores, digital channels and card issuing for thousands of financial institutions, while its capital markets business sells trading, treasury, lending and risk software to banks, asset managers and corporate finance departments. Headquartered in Jacksonville and listed on the New York Stock Exchange, it sold most of its Worldpay merchant business in 2023 to refocus on the software it sells to financial institutions rather than merchant acquiring.

At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you’re ready to grow your career and make an impact in fintech, we have one question: Are you FIS?

About the Role

You will lead the design and implementation of advanced agentic engineering capabilities that scale the enterprise software development lifecycle. You will establish architectures, coding harnesses and reusable libraries that enable coding agents to work effectively across complex development environments. You will guide technical decisions, coordinate cross-functional delivery and help teams adopt reliable AI-assisted engineering practices. Success means creating durable platform capabilities, resolving undefined technical challenges and accelerating responsible software delivery.

What You Will Be Doing

  • Lead architecture and delivery of enterprise agentic workflows across the software development lifecycle.
  • Establish technical patterns for coding agents, harnesses, reusable libraries and automated engineering workflows.
  • Design secure Model Context Protocol servers and integration frameworks for enterprise tools and data.
  • Define standards for evaluating, testing, monitoring and governing AI-generated software.
  • Guide teams building scalable solutions with Python, TypeScript and cloud-native technologies.
  • Resolve complex architecture, integration, debugging, performance and reliability challenges.
  • Shape technical roadmaps that align platform investments with engineering and business priorities.
  • Lead code and design reviews to improve quality, maintainability, security and operational readiness.
  • Partner with implementation and client-facing teams to diagnose needs and deliver effective solutions.
  • Mentor engineers and communicate technical practices across teams and organizational boundaries.

What you will need

  • Expert software engineering skills across application architecture, integration, testing and production operations.
  • Advanced proficiency with Python, TypeScript or comparable languages used for platform development.
  • Experience leading complex software initiatives involving multiple systems, teams and stakeholder groups.
  • Demonstrated success building developer platforms, coding frameworks, automation systems or reusable libraries.
  • Deep knowledge of cloud architecture, distributed systems, APIs, security and software reliability.
  • Ability to define technical standards and influence decisions without relying on direct authority.
  • Degree in computer science, engineering or a related field, or equivalent practical experience.

Added bonus if you have

  • Advanced experience with agentic programming, coding agents or large language model application architecture.
  • Experience developing Model Context Protocol servers, tools, registries or governance patterns.
  • Knowledge of Claude Code, GitHub Copilot, OpenCode or comparable AI engineering tools.
  • Experience establishing evaluation, observability and safety controls for enterprise AI workflows.
  • Client-facing engineering experience spanning implementation, technical discovery and complex troubleshooting.
  • Experience contributing to long-term technology strategy or enterprise engineering standards.

What We Offer you

At FIS, you can grow your career as far as you want to take it. Here’s what else we offer:

  • Opportunities to make an impact in fintech
  • Personal and professional learning
  • Inclusive, diverse work environment
  • Resources to give back to your community
  • Competitive salary and benefits

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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