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Senior specialized role with strong employer brand in a metro causes moderate applicant competition.
Highly specialized agentic AI, LLM orchestration, and distributed-systems expertise limits cross-industry transferability.
Explicit 15+ years, 5+ years AI platform experience and many mandatory technical requirements create strict filters.
Lead architecture and development of scalable, multi-agent AI platforms enhancing products, workflows, and business operations.
Define technical strategy, best practices, and governance for enterprise Agentic AI systems across multiple business units.
Collaborate cross-functionally to deliver secure, reliable, cloud-native AI services and drive adoption of AI engineering standards and frameworks.
Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred.
15+ years software engineering experience with emphasis on distributed systems and cloud-native platforms.
5+ years experience designing enterprise-scale AI, ML, or intelligent automation platforms.
Strong programming skills in Python, Java, Go, or C++; deep expertise with AWS, Azure, or GCP; experience with Kubernetes, containers, microservices, and REST/gRPC APIs.
Experienced in leading architecture and technical strategy across multiple large engineering organizations for AI platforms.
Expertise in multi-agent AI systems, including planning, reasoning, memory management, and AI orchestration frameworks.
Strong background in cloud-native platform engineering with knowledge of enterprise security, AI evaluation methodologies, and emerging AI technologies (foundation models, RAG, MCP).