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Senior, niche AI leadership role with some company brand but non-metro location yields medium competition.
Role demands specialized AI platform and agent expertise in enterprise SaaS, making cross-industry fit limited and high sensitivity.
Multiple explicit senior requirements, domain-specific ML/LLM/agent expertise, and technical mandates make shortlisting highly strict.
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Lead architecture, development, and scaling of AI platform capabilities including shared AI platform, agentic AI ecosystems, and interoperability standards.
Own AI infrastructure economics, model lifecycle management, AIOps and governance, and drive adoption of AI engineering practices across MRI’s product portfolio.
Build and lead AI engineering organization, partner with product, IT, data, and security leadership, and engage with customers and executives on AI adoption and business impact.
10+ years engineering leadership experience with multi-team org scaling.
Bachelor’s degree in Computer Science, Engineering, or related technical field required; technical graduate degree preferred.
Deep hands-on experience architecting and delivering AI/ML systems including LLM, RAG, and agentic AI.
Advanced Python skills and experience with Model Context Protocol or comparable AI interoperability standards.
Experienced in leading AI engineering within SaaS or enterprise software environments and managing globally distributed teams.
Proven ability to operate at the executive level, influencing engineering, product, and business stakeholders.
Track record of driving technical and organizational transformation, managing AI infrastructure costs, and establishing governance and security practices for AI systems.