BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don't just strategize — we execute.
We are seeking a senior, hands-on Senior AI/ML Architect to design, build, and lead advanced data platforms, GenAI solutions, and enterprise integrations across Snowflake and AWS. This role operates in complex, high-visibility enterprise environments and requires ownership of architecture, delivery, and client-facing execution.
You will work across Snowflake architecture and administration, cloud connectivity, data engineering, and AI/ML enablement—partnering closely with highly technical client teams to prototype, productionize, and scale advanced analytics and GenAI use cases.
Key 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
Must-Have Skills
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
Nice-to-Have Skills
Streamlit or analytics app development on Snowflake
Pharma, regulated industry, or financial services experience
Veeva CRM data integration experience
Openflow for Salesforce connectivity
Ataccama onboarding and data governance tools
AWS fundamentals beyond core integrations
Experience working with consulting partners (e.g., ZS, Cognizant)
Exposure to AI/ML workloads (enablement and support, not necessarily modeling)