Senior AI/ML Architect
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Job Description
Senior AI/ML Architect leading data platforms and GenAI solutions across Snowflake and AWS. Substantial experience in cloud environments and data engineering required.
Responsibilities:
- Design and implement Snowflake-centric cloud data and analytics architectures
- Enable GenAI and advanced analytics solutions using Snowflake Cortex and data science platforms
- Lead AWS–Snowflake integrations, networking, and secure connectivity
- Build and oversee data pipelines, ingestion, and transformations
- Integrate enterprise systems such as Salesforce, Veeva CRM, Postgres, and related platforms
- Research, prototype, and productionize advanced analytics and AI/ML use cases
- Own delivery in high-pressure, escalated, client-facing environments
- Collaborate with consulting and delivery partners as needed
Requirements:
- Deep, hands-on Snowflake experience (architecture, administration, performance, security)
- Strong Snowflake solution architecture and enterprise platform design experience
- Snowflake Cortex and GenAI enablement experience
- Solid AI/ML and data science platform experience (Dataiku strongly preferred)
- AWS architecture knowledge (networking, security, PrivateLink, integrations)
- Hands-on data engineering experience (pipelines, ingestion, transformations)
- SQL and Python proficiency
- Experience enabling analytics and ML workloads on Snowflake
- Strong understanding of cloud security, governance, and scalability
- Ability to communicate effectively with highly technical client teams
- Proven ability to own delivery in complex, high-stakes environments
- Streamlit or analytics app development on Snowflake (nice to have)
- Pharma, regulated industry, or financial services experience (nice to have)
- Veeva CRM data integration experience (nice to have)
- Openflow for Salesforce connectivity (nice to have)
- Ataccama onboarding and data governance tools (nice to have)
- AWS fundamentals beyond core integrations (nice to have)
- Experience working with consulting partners (e.g., ZS, Cognizant) (nice to have)
- Exposure to AI/ML workloads (enablement and support, not necessarily modeling) (nice to have)
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