AI Engineering Lead

Job Description

AI Engineering Lead

Job Summary

Looking for AI engineering lead with 10 to 12 years of experience and involved in designing and building API first event driven architectures. Location: Sunnyvale CA

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 PLUS years)

• Deep hands-on experience building and delivering production-grade systems in enterprise environments
• Expertise in microservices APIs (REST or 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 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 and 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

Behavioral Skills:

• Excellent Communication skills and collaboration skills
• Ability to propose and implement improvements in the system
• Ability to work with cross-functional stakeholders

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