AI Agent & Infrastructure - Lead Engineer
About The Position
Architects and builds the infrastructure and tooling that powers AI agent development across the Software Development Lifecycle (SDLC). Develops production-grade agentic systems, orchestration frameworks, and observability solutions that enable teams to build, deploy, and monitor reliable AI agents at scale. Plays a key role in defining and implementing the next generation of SDLC through AI-first innovation and comprehensive instrumentation. You demonstrate sharp product sense for high-impact automation opportunities, technical taste in implementation decisions, and the ability to clearly articulate trade-offs. You know when to apply AI agent solutions versus simpler approaches and can explain the "why" behind architectural choices. You excel at 0-to-1 (and 1-to-100) product development, comfortable operating in ambiguous environments where requirements emerge through experimentation and iteration rather than upfront specification.
Requirements
- 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 test automation and unit testing
- Strong experience software security
- Java, Python, JavaScript/TypeScript
- Angular, Spring Boot
- CI/CD platforms and cloud infrastructure (AWS)
- Monitoring/observability tools (e.g., Prometheus, Grafana, CloudWatch)
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
Benefits
- health, dental and vision insurance
- basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment, short- and long-term disability, long-term care, business travel accident, disability and legal
- immediate participation and vesting in a 401(k) plan with company match
- eligibility for participation in an additional FINRA-funded retirement contribution
- tuition reimbursement
- commuter benefits
- adoption assistance
- backup family care
- surrogacy benefits
- employee assistance
- wellness programs
- 15 days of paid time off
- 5 personal days
- 9 sick days
- two volunteer service days
- military leave
- jury duty leave
- bereavement leave
- voting and election official leave for federal, state or local primary and general elections
- care of a family member leave (available after 90 days of employment)
- childbirth and parental leave (available after 90 days of employment)
- nine paid holidays
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
