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Specialized GenAI lead role with senior requirement reduces applicant pool despite high domain interest.
GenAI and cloud-specific skills are transferable but require specialized LLM and platform experience.
Explicit 8+ years, 4+ GenAI experience and mandatory cloud/LLM/tool expertise create strict shortlisting filters.
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Lead design, development, and deployment of enterprise-grade Generative AI solutions across AWS, GCP, and Snowflake platforms.
Establish and implement prompt engineering frameworks, AI guardrails, and best practices for model governance and evaluation.
Develop scalable AI workflows, orchestration pipelines, reusable components, and convert AI prototypes into production-ready applications.
Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
8+ years in software engineering, machine learning, data engineering, or AI solution development.
4+ years hands-on experience with Generative AI, LLMs, and foundation models.
Experience working with GCP and Snowflake AI ecosystems.
Expertise in architecting enterprise-scale GenAI solutions using advanced LLM architectures and prompt governance frameworks.
Proven ability to translate complex business requirements into scalable, production-ready AI solutions and prototypes using synthetic and enterprise data.
Experienced in designing AI evaluation frameworks, benchmarking, and optimizing model performance and deployment efficiency.