Lead Software Engineer, AI Platform

Lead Software Engineer

This position reports to the Engineering Manager and leads the design, development, and evolution of enterprise‑grade AI solutions and MCP servers on AWS.

• Lead the adoption of Service Now and AWS‑native AI capabilities.
• Identify opportunities where AI reduces manual effort and improves service outcomes.
• Design a repeatable, domain‑aligned pattern as a Spotify Backstage Software Template.
• Architect production‑ready MCP servers with integrated authentication and RBAC.
• Develop reference Python MCP servers for enterprise domains like Workday.
• Implement shared authentication libraries for Entra  OAuth flows.
• Build a tool‑accuracy evaluation harness to validate LLM tool behavior in CI.
• Automate registration with AWS Bedrock Agent Core Gateway.
• Manage container deployment on AWS ECS Fargate using read‑only file systems.
• Deploy infrastructure‑as‑code using Terraform or Cloud Formation.
• Instrument observability using Open Telemetry tracing and structured JSON logging.
• Conduct technical design reviews and architecture governance.
• Transfer knowledge to the platform team through live sessions and documentation.

• Python Mastery: 7+ years of production Python experience using async frameworks like FastAPI or Starlette.
• AWS Infrastructure:
  Deep knowledge of IAM role chaining, Secrets Manager, ECR, and VPC networking.
• AI & Agentic Systems:
  Hands‑on experience with Model Context Protocol (MCP) and AWS Bedrock Agent Core.
• Identity & Security:
  Advanced OAuth 2.0/OIDC execution, including On‑Behalf‑Of flows and JWT validation.
• Platform Engineering:
  Experience authoring Spotify Backstage templates and Git Hub Actions CI/CD pipelines.
• Enterprise Integration:
  Proven history of integrating complex REST APIs such as Workday, Salesforce, or Service Now.

• Experience:
  
  8+ years of overall IT experience.
• Specialization: 6+ years of hands‑on architecture and development experience.
• Leadership:
  Demonstrated ability to lead complex, enterprise‑scale implementations.
• Communication:
  Excellent technical writing skills for runbooks and architecture documentation.

• Operate computer equipment and remain in a primarily sedentary position.
• Lift and carry up to 25 lbs.
• Finger dexterity is necessary.
• Location:
  
  Remote US / Onsite / Hybrid.

This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice.

During the course of your employment, you may be required to use, download, or access certain company‑approved tools, programs, applications, or systems. These resources may include, but are not limited to, applications designed for customer engagement, operational efficiency, data analysis, artificial intelligence (AI) tools, and other business functions.

Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.