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AI Lead Engineer
Job in
Sunnyvale, Santa Clara County, California, 94086, USA
Listed on 2026-08-31
Listing for:
Pyramid Consulting
Full Time
position Listed on 2026-08-31
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Software Architect, Cloud Engineer - Software
Job Description & How to Apply Below
AI Lead Engineer
Immediate need for a talented AI Lead Engineer. This is a 06+months contract opportunity with long-term potential and is located in Sunnyvale – CA (Onsite).
Pay Range: $53/hr - $53.57/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities- 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
- Key skills;
Gen AI, AWS, Event Driven, MCP and Domain – Driven Design - 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/GCP)
- Proven ability to move between architecture design, hands-on coding, and leading engineering teams with a pragmatic, delivery-focused mindset
- 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
- 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
- Experience designing observability strategies: distributed tracing, structured logging, metrics dashboards
- Deep understanding of zero-trust architecture, API security, and identity federation
- Hands-on experience with CI/CD pipeline design, Git Ops workflows, and release engineering
- Ability to make and communicate well-reasoned architectural trade-offs.
- 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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