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Finra

Oversees US broker-dealers; mediates disputes

AI Agent and Infrastructure Lead Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, or a related discipline, with at least seven years of related experience, or equivalent training and/or work experience.
  • Strong system design experience.
  • Strong experience in object-oriented development.
  • Strong experience with cloud technologies.
  • Strong experience in data storage technologies.
  • Strong experience in performance tuning and optimization.
  • Strong experience in DevOps and continuous integration/continuous delivery technologies.
  • Strong experience in test automation and unit testing.
  • Strong experience in software security.
  • Full-stack technical proficiency in Java, Python, and JavaScript/TypeScript; Angular and Spring Boot; CI/CD platforms and cloud infrastructure such as AWS; and monitoring and observability tools such as Prometheus, Grafana, and CloudWatch.

Responsibilities

  • Architect and build infrastructure and tooling that powers AI agent development across the software development life cycle.
  • Develop production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale.
  • Help define and implement the next generation of the software development life cycle through AI-first innovation and comprehensive instrumentation.
  • Develop production-grade AI agents that eliminate manual handoffs across the software development life cycle.
  • Create custom integrations and command-line tools that give agents deep understanding of internal systems and codebases.
  • Design comprehensive testing strategies to ensure agent reliability and output quality.
  • Implement Golden Path scaffolding that embeds organizational standards into new projects.
  • Build AI solutions that improve codebase navigation, documentation, and developer workflows.
  • Identify workflow bottlenecks and deliver measurable impact through intelligent automation.
  • Shape software development life cycle evolution by identifying AI-first opportunities and proving outcomes through experimentation.
  • Architect and maintain production infrastructure supporting agent deployment, lifecycle management, and scaling.
  • Develop agent frameworks, templates, and software development kits that accelerate agent development.
  • Create a governed Model Context Protocol catalog enabling compliant agent-to-agent and agent-to-Model Context Protocol communication.
  • Implement governance controls for agent behavior, permissions, and system access.
  • Design and implement metrics, monitoring, and logging infrastructure for AI agents and development workflows.
  • Build dashboards that provide actionable insights into developer productivity, tool adoption, and agent performance.
  • Establish key performance indicators and measurement frameworks to quantify the impact of AI-powered automation.
  • Create alerting and anomaly detection systems to ensure reliability of agents and tooling.
  • Analyze telemetry data to identify optimization opportunities and guide strategic investment decisions.
  • Partner across teams to drive adoption of AI-powered tooling and process transformation.
  • Stay current with large language model technologies and coach colleagues on AI-assisted development and automation best practices.
  • Rapidly prototype solutions to validate use cases and prove value quickly.
  • Communicate data-driven insights to stakeholders through clear visualizations and reports.

About the Company

Finra

Oversees US broker-dealers; mediates disputes

FINRA is a not-for-profit regulator that oversees U.S. broker-dealers to ensure fair and transparent financial markets. It enforces rules, conducts examinations, and takes enforcement actions, and it runs the largest securities dispute resolution forum in the United States, offering arbitration and mediation between investors and brokers. Its services are funded by fees from member firms, such as registration, examination, and penalties, with funds reinvested to strengthen investor protection and market integrity. Its goal is to protect investors and maintain fair, orderly, and efficient capital markets.

Company size
5,001-10,000
Company stage
N/A
Total funding
$2M
Headquarters
Washington DC, District of Columbia
Founded
2007

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