Artificial Intelligence Engineer

Title: AI Lead EngineerLocation : Sunnyvale, CA ( 3 days work from office) ContractResponsibilities / Experience – Lead service rationalization and decomposition across complex enterprise ecosystemsDesign and build API-first, event-driven architecturesContribute hands-on to domain services, integrations, and POCsEnable service reuse through catalogs, standards, and governanceDrive incremental legacy modernization (strangler pattern)Partner across global teams to influence a platform-first mindsetBuild systems ready for AI agents, automation workflows, and future integrations Qualifications/Required Skills: 1. Strong Engineering & Architecture Execution (10+ years)Deep hands-on experience building and delivering production-grade systems in enterprise environmentsExpertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/GCP)Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset 2. Service Decomposition & Enterprise ModernizationStrong experience with domain-driven design (DDD), service decomposition, and distributed system designHands-on track record breaking down monoliths/fragmented systems into reusable service layersExperience leading modernization efforts using incremental approaches (e.g., strangler pattern) with a focus on reuse, scalability, and clean service boundaries 3. MCP Servers & Gen AI / Agent-Based SystemsProven experience building MCP server-based solutions and Gen AI agents from concept through productionStrong understanding of designing systems for an agentic, AI-driven ecosystemAbility to integrate AI into service architectures and make platforms “agent-ready” for future automation and intelligence4. Experience designing observability strategies: distributed tracing, structured logging, metrics dashboards5. Deep understanding of zero-trust architecture, API security, and identity federation6. Hands-on experience with CI/CD pipeline design, GitOps workflows, and release engineering7. Ability to make and communicate well-reasoned architectural trade-offs.Preferred Skills:Expertise with Claude Code or similar AI-assisted development toolsExperience building service catalogs / internal developer platformsBackground in highly distributed, multi-region enterprise environmentsExposure to AI-driven automation workflows at scale.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf