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Strong employer brand and metro location but senior, specialized GenAI skills limit applicant pool.
Highly specialized GenAI and agentic AI skills make cross-industry transfer limited.
Explicit 8+ years plus mandatory GenAI, enterprise architecture, and governance expertise makes filters strict.
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Lead design and delivery of scalable enterprise AI, Generative AI, and agentic AI architectures aligned with business and technology strategies.
Develop reusable AI solution patterns, production-ready platforms, and governance frameworks to operationalize AI at scale.
Collaborate cross-functionally to implement secure, resilient, and governed AI/GenAI solutions on cloud platforms like AWS and Snowflake.
Bachelor's or higher degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative discipline.
8+ years relevant experience in solution architecture, data science, machine learning, or AI engineering; minimum 2+ years in Generative AI / LLM solutions.
Hands-on expertise with GenAI application design, prompt engineering, multi-agent orchestration, retrieval-augmented generation, and cloud AI platforms (AWS Bedrock, Snowflake Cortex).
Experience with production AI solution deployment, including CI/CD, monitoring, security, governance frameworks, and responsible AI implementation.
Senior technical leader with proven ability to translate complex business workflows into operational, scalable AI/GenAI solutions within enterprise environments.
Deep experience integrating multi-agent AI systems with cloud-native platforms and enterprise data ecosystems, emphasizing security, governance, and operational control.
Strategic collaborator capable of driving cross-functional partnerships with Product, Engineering, Data, Security, and Business teams to mature enterprise AI capabilities.