Snowflake Cortex Architect with GenAI Experience

Job Title: GenAI + Snowflake Cortex Architect (Remote) Location: Remote 6+ Months Contract Need only visa independent candidates About the Role We are seeking a seasoned Architect to lead the design, development and deployment of generative‑AI enabled data/analytics solutions built on the Snowflake Data Cloud and Snowflake Cortex platform. This person will bridge the worlds of data engineering, ML/AI (especially GenAI and LLMs), and Snowflake architecture to deliver next‑generation, production‐grade systems. You will be responsible for shaping the end‑to‑end architecture: from ingestion, transformation and storage on Snowflake, to embedding generative AI (LLMs, retrieval‑augmented generation, agents) via Snowflake Cortex (including Cortex Analyst, Cortex Search, Cortex Agents). You’ll work with cross‑functional teams (data engineers, ML/AI engineers, product, business stakeholders) and guide the solution from proof‑of‑concept through to production. Don’t need profile on Data side, client need more into GenAI… Required Qualifications & Skills • Bachelor’s or Master’s in Computer Science, Data Engineering, Machine Learning, or related field. • 8–15+ years of professional experience in data/analytics architecture, of which at least 3–5 years in a solution architect role involving Snowflake and/or GenAI. • Strong expertise in Snowflake: data warehousing, ELT/ETL, Snowpark (Python/Scala), Snowflake features (Streams, Tasks, Dynamic Tables, Micro‑Partitioning, Clustering, Zero‑Copy Cloning, Data Sharing). • Hands‑on with GenAI/LLMs: embedding generation, vector search, RAG pipelines, prompt design, agent orchestration. • Familiarity with Snowflake Cortex platform: Cortex Analyst, Cortex Search, Cortex Agents. • Proficiency in SQL (advanced), Python (or equivalent), and knowledge of AI/ML frameworks and libraries. • Cloud experience (AWS, Azure or GCP) integrating with Snowflake and GenAI workloads. • Experience with building semantic models, conversational interfaces, business user self‑service analytics. • Strong communication and stakeholder management skills — able to translate business requirements into technical solutions. • Proven track record of delivering scalable data + AI solutions in production. • Certifications (nice to have): SnowPro Core/Advanced, Snowflake Architect, or equivalent.