AI Agent Platform Lead Engineer

Financial Industry Regulatory Authority, Inc.; Rockville (MD); Hybrid; USD 131,000 - 238,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Tuition reimbursement

Commuter benefits

Job summary

Financial Industry Regulatory Authority, Inc. seeks a Lead Engineer to own the development of software products and improve overall quality across the SDLC. You will mentor engineers, architect agent frameworks, and build production-grade AI agents that automate complex workflows.

The role requires strong system design, OO programming, cloud tech experience, and a track record in DevOps, testing, and security. Hybrid in-person work with multiple benefits and a focus on AI-first innovation.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems or related discipline with at least 7 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 CI/CD technologies
• Strong experience in test automation and unit testing
• Strong experience in software security

Responsibilities

• Develop production-grade AI agents that eliminate manual handoffs across the SDLC
• Create custom integrations and CLI 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 SDLC 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 SDKs that accelerate agent development
• Create governed Model Context Protocol (MCP) catalog enabling compliant agent-to-agent and agent-to-MCP 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 KPIs 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 LLM 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

Skills

Java

Python

JavaScript/TypeScript

Strong system design

Cloud technologies

DevOps/CI-CD

Test automation

Education

Bachelor’s degree in Computer Science, Information Systems or related discipline

Tools

Angular

Spring Boot

AWS

Prometheus

Grafana

CloudWatch

Job description

Financial Industry Regulatory Authority, Inc. seeks a Lead Engineer to own the development of software products and improve overall quality across the SDLC. You will mentor engineers, architect agent frameworks, and build production-grade AI agents that automate complex workflows.

The role requires strong system design, OO programming, cloud tech experience, and a track record in DevOps, testing, and security. Hybrid in-person work with multiple benefits and a focus on AI-first innovation.