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Lead AI Engineer, Agentic Solutions Acceleration

United States, Menlo Park · Job Posted February 20, 2026
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Job Description

The Lead AI Engineer will be the principal technical authority for the design, development, and deployment of the core AI Agent systems within the Solutions Team. You will be responsible for defining the reference architecture for all agentic solutions, mentoring senior engineers, and ensuring technical alignment with the Director's strategic vision.

Job Responsibility

  • Define Agent Reference Architecture
  • Technology Vetting
  • Design Reviews
  • Complex Agent Development
  • Low-Code Integration Strategy
  • Performance and Governance
  • Technical Guidance
  • Cross-Functional Alignment

Requirements

  • 8+ years of experience in software engineering, with experience building production-grade AI Agents and complex intelligent systems within the enterprise
  • Mastery of LLMs, advanced prompt engineering, RAG strategies, fine-tuning, and grounding techniques
  • Expert-level knowledge and practical experience leading teams utilizing major AI Agent orchestration frameworks (LangChain, Semantic Kernel, or deep internal frameworks)
  • Expert-level coding skills in Python, coupled with extensive experience in cloud-native deployment, containerization (Docker/Kubernetes), and managing scalable APIs (REST/gRPC)
  • Demonstrated ability to implement security best practices (e.g., authorization, data masking) and enforce Responsible AI governance and guardrails in production systems

Nice to have

Familiarity with the OutSystems platform or similar low-code/no-code platforms, understanding their integration patterns and architecture limitations

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