Title: AI Lead Engineer
Location : Sunnyvale, CA ( 3 days work from office)
Experience- 8 – 12 Years
Responsibilities / Experience –
- Lead service rationalization and decomposition across complex enterprise ecosystems
- Design and build API-first, event-driven architectures
- Contribute hands-on to domain services, integrations, and POCs
- Enable service reuse through catalogs, standards, and governance
- Drive incremental legacy modernization (strangler pattern)
- Partner across global teams to influence a platform-first mindset
- Build 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 environments
- Expertise in microservices, APIs (REST/GraphQL), event-driven architecture (Kafka), and cloud platforms (AWS/Azure/Google Cloud Platform)
- Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset
2. Service Decomposition & Enterprise Modernization
- Strong experience with domain-driven design (DDD), service decomposition, and distributed system design
- Hands-on track record breaking down monoliths/fragmented systems into reusable service layers
- Experience 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 Systems
- Proven experience building MCP server-based solutions and Gen AI agents from concept through production
- Strong understanding of designing systems for an agentic, AI-driven ecosystem
- Ability to integrate AI into service architectures and make platforms “agent-ready” for future automation and intelligence
4. Experience designing observability strategies: distributed tracing, structured logging, metrics dashboards
5. Deep understanding of zero-trust architecture, API security, and identity federation
6. Hands-on experience with CI/CD pipeline design, GitOps workflows, and release engineering
7. Ability to make and communicate well-reasoned architectural trade-offs.
Preferred Skills:
- Expertise with Claude Code or similar AI-assisted development tools
- Experience building service catalogs / internal developer platforms
- Background in highly distributed, multi-region enterprise environments
- Exposure to AI-driven automation workflows at scale.
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