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BlueCloud

Global leader in Data, Analytics and AI with exceptional focus on Innovation, Customer Service and Employee engagement

Senior AI/ML Architect

Artificial IntelligenceArtificial IntelligenceOtherRemoteSeniorTeam 501-1,000Since 2004H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

28 days ago

Salary

Not specified

Seniority

Senior

Bachelor DegreeEnglishAWSCloudPostgreSQLPythonSQL

Job Description

• 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

Job 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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