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Senior, highly specialized agentic AI role with niche skills reduces applicant density despite metro location.
Highly domain-specific agentic AI, LLMOps, and cloud-native platform expertise limits cross-industry transferability.
Explicit 12+ years, Principal title and strict domain/tech requirements make shortlisting highly selective.
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Own and define the technical vision for scalable, production-grade agentic AI systems enabling intelligent cloud operations.
Architect and lead development of multi-agent AI architectures, orchestration frameworks, and AI platform infrastructure with focus on reliability, observability, and enterprise scale.
Mentor senior AI engineers, establish engineering standards, and drive strategic technical initiatives impacting AI system quality, cost, and operational efficiencies.
12+ years of software engineering experience with significant recent hands-on applied AI production system development.
Prior experience as Principal Engineer or equivalent senior individual contributor role leading large-scale technical initiatives.
Bachelor's or Master's degree in CS, AI, ML, Engineering, or related technical field (equivalent practical experience acceptable).
Strong expertise in agentic AI systems, multi-agent architectures, AI platform engineering including LLMOps, cloud-native deployments (AWS, Kubernetes), and AI governance/observability.
Experienced in architecting and delivering enterprise-scale AI platforms within cloud infrastructure or AI-first product companies.
Skilled at cross-functional technical leadership and mentoring senior engineers to influence organizational AI strategy and standards.
Comfortable driving innovation by evaluating emerging AI technologies and integrating advanced AI techniques like RAG, retrieval systems, and large foundation model APIs.