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Remote senior GenAI lead with niche skills reduces but strong demand keeps competition medium.
Role requires specialized GenAI, agentic AI and AI governance expertise, limiting cross-industry transferability.
Explicit 8+ years, specialized GenAI frameworks and AI GRC requirements imply high filter rigidity.
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Lead design, development, and deployment of Generative AI and Agentic AI applications including multi-agent workflows and intelligent AI solutions using CrewAI, LangChain/LangGraph.
Own end-to-end solution architecture for enterprise AI platforms ensuring scalability, security, observability, and cost optimization while integrating compliance and governance requirements (ISO/IEC 42001, NIST AI RMF).
Incorporate AI Governance, Risk, and Compliance into lifecycle including risk assessments, controls for LLM security issues, and ensuring traceability, monitoring, auditability, and human oversight.
Strong hands-on experience in Generative AI, LLM application development, CrewAI, LangChain/LangGraph, Python programming, and cloud AI architecture (AWS/Azure/GCP).
Work Experience Required: 8+ years overall software/technology experience with significant AI/GenAI engineering; experience leading AI engineering or architecture teams.
Working knowledge of AI Governance & Risk frameworks: ISO/IEC 42001 and NIST AI RMF; understanding AI security risks such as prompt injection, data leakage, and bias.
Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related discipline.
Experienced AI engineering leader with strong architecture skills capable of bridging AI development and AI governance/compliance in enterprise environments.
Demonstrated ability to design and build complex AI solutions (Generative AI, multi-agent systems, LLM orchestration) while incorporating AI governance, risk management, and security controls.
Comfortable leading technical teams, defining development standards, and communicating complex AI architecture and regulatory risks clearly to senior stakeholders.