Engineering Manager, Agentic AI Platforms

FIS

United States

On-site

USD 150,000 - 190,000

Full time

4 days ago

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Benefits offered by this job

Competitive salary

Inclusive, diverse work environment

Professional learning opportunities

Employee benefits

Job summary

FIS is seeking a senior software engineering leader to drive an agentic AI platform initiative within enterprise software development. You will mentor engineers, set priorities, and guide architecture of scalable workflows and developer tools.

The role partners with product, implementation, and client teams to accelerate adoption and production readiness. You will oversee delivery primarily with Python, TypeScript, and cloud technologies, ensuring security, quality and reliability.

Qualifications

Experience leading or mentoring software engineers in an agile product or platform environment.
Strong knowledge across architecture, development, testing, integration and production support.
Proficiency with Python, TypeScript or similar languages.
Experience delivering developer tools, automation frameworks, and reusable libraries.
Knowledge of cloud architecture, APIs, distributed systems, and reliability practices.
Ability to manage complex priorities and resources.
Strong stakeholder communication and planning skills.
Degree in computer science, engineering or related field, or equivalent practical experience.

Responsibilities

Lead, coach and develop software engineers across multiple career levels and technical disciplines.
Establish team priorities, delivery plans and success measures aligned with enterprise technology objectives.
Guide the architecture of scalable agentic workflows, coding harnesses, reusable libraries and developer platforms.
Oversee solutions developed primarily with Python, TypeScript, cloud technologies and Model Context Protocol integrations.
Ensure coding agents and automated workflows meet security, quality, reliability and maintainability standards.
Foster disciplined engineering practices, including design reviews, code reviews, automated testing and production readiness.
Allocate team capacity across platform development, implementation support, technical consultation and continuous improvement.
Lead engineers who partner directly with FIS product, engineering and implementation teams to solve complex technical challenges and accelerate solution deployment.
Partner with stakeholders to translate engineering and client needs into clear technical priorities and delivery plans.
Monitor delivery risks, dependencies, operational performance and resource needs across concurrent initiatives.
Build an inclusive, collaborative culture that supports learning, accountability, innovation and engineering excellence.