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Strong employer brand and metro location balanced by seniority and niche GenAI requirements.
Highly specialized GenAI and enterprise AI architecture limits cross-industry portability.
8+ years plus mandatory GenAI, LLM, cloud, Snowflake, and MLOps expertise enforces strict filters.
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Define end-to-end enterprise AI, Generative AI, and agentic AI solution architectures that translate business workflows into scalable technical patterns.
Design and govern AI cloud platform architecture on AWS and Snowflake focusing on scalability, reliability, observability, security, and cost optimization.
Collaborate cross-functionally to productionize AI solutions with CI/CD, monitoring, governance, and provide technical leadership, reusable frameworks, and standards.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related quantitative field.
8+ years of relevant experience in solution architecture, data science, machine learning, or AI engineering, including 2+ years specifically in Generative AI / LLM-based solutions.
Hands-on expertise in enterprise AI solution architecture with strong skills in AWS and Snowflake cloud platforms and AI/ML/GenAI production delivery.
Experience with MLOps/LLMOps, AI system governance, security, compliance, and established technical standards in enterprise environments.
Senior-level individual contributor with deep expertise in GenAI application design, agentic AI systems, and cloud-native AI platforms.
Operates effectively in global, cross-functional teams partnering with product, engineering, data, security, and business stakeholders to scale AI solutions.
Experienced in architecting reusable AI solution patterns, tackling complex business challenges through AI, and advancing enterprise AI maturity and governance.