BlueCloud Services, Inc. - Senior AI/ML Architect
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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 • Pharma, regulated industry, or financial services 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) • We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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
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