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Highly senior, niche AI leadership reduces candidate density despite metro location.
Role demands specialized enterprise AI platform and agentic AI experience, limiting cross-industry portability.
Explicit 10+ years requirement, mandatory AI/LLM platform experience and advanced technical skills.
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Lead architecture and delivery of AI capabilities across MRI's platform, owning shared AI platform, data/knowledge foundation, and AI infrastructure economics.
Build and scale AI engineering organization responsible for model integration, agent orchestration, platform services, and adoption of AI-native engineering practices.
Define reusable AI reference architectures, standards (Model Context Protocol), and governance for AI and agentic ecosystems, partnering with product, IT, data, and security teams.
10+ years engineering leadership experience, including hiring, org design, and scaling multi-team organizations.
Proven hands-on expertise architecting and delivering AI/ML systems, including LLM applications, RAG architectures, and agentic AI patterns.
Bachelor's degree in Computer Science, Engineering, or related technical field required; technical graduate degree preferred.
Advanced Python skills and strong background in API design, microservices, and cloud-native architectures (Azure, AWS, or GCP).
Experience leading AI engineering in SaaS or enterprise software with multi-region distributed teams.
Strong ability to operate and influence at executive levels across Engineering, Product, and Business stakeholders.
Demonstrated success driving AI governance, model risk management, AI infrastructure cost accountability, and organizational transformation for AI initiatives.