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Senior AI/ML Architect
JOB SUMMARY
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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 ResponsibilitiesDesign and implement Snowflake-centric cloud data and analytics architecturesEnable GenAI and advanced analytics solutions using Snowflake Cortex and data science platformsLead AWS–Snowflake integrations, networking, and secure connectivityBuild and oversee data pipelines, ingestion, and transformationsIntegrate enterprise systems such as Salesforce, Veeva CRM, Postgres, and related platformsResearch, prototype, and productionize advanced analytics and AI/ML use casesOwn delivery in high-pressure, escalated, client-facing environmentsCollaborate with consulting and delivery partners as neededMust-Have SkillsDeep, hands-on Snowflake experience (architecture, administration, performance, security)Strong Snowflake solution architecture and enterprise platform design experienceSnowflake Cortex and GenAI enablement experienceSolid 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 proficiencyExperience enabling analytics and ML workloads on SnowflakeStrong understanding of cloud security, governance, and scalabilityAbility to communicate effectively with highly technical client teamsProven ability to own delivery in complex, high-stakes environmentsNice-to-Have SkillsStreamlit or analytics app development on SnowflakePharma, regulated industry, or financial services experienceVeeva CRM data integration experienceOpenflow for Salesforce connectivityAtaccama onboarding and data governance toolsAWS fundamentals beyond core integrationsExperience 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.
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 ResponsibilitiesDesign and implement Snowflake-centric cloud data and analytics architecturesEnable GenAI and advanced analytics solutions using Snowflake Cortex and data science platformsLead AWS–Snowflake integrations, networking, and secure connectivityBuild and oversee data pipelines, ingestion, and transformationsIntegrate enterprise systems such as Salesforce, Veeva CRM, Postgres, and related platformsResearch, prototype, and productionize advanced analytics and AI/ML use casesOwn delivery in high-pressure, escalated, client-facing environmentsCollaborate with consulting and delivery partners as neededMust-Have SkillsDeep, hands-on Snowflake experience (architecture, administration, performance, security)Strong Snowflake solution architecture and enterprise platform design experienceSnowflake Cortex and GenAI enablement experienceSolid 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 proficiencyExperience enabling analytics and ML workloads on SnowflakeStrong understanding of cloud security, governance, and scalabilityAbility to communicate effectively with highly technical client teamsProven ability to own delivery in complex, high-stakes environmentsNice-to-Have SkillsStreamlit or analytics app development on SnowflakePharma, regulated industry, or financial services experienceVeeva CRM data integration experienceOpenflow for Salesforce connectivityAtaccama onboarding and data governance toolsAWS fundamentals beyond core integrationsExperience 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.
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