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Senior Data & AI Solutions Architect - No C2C

Posted yesterday

offsoarBel Air (MD)

SENIORITY

Lead

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About the role

Define and govern enterprise Data & AI architecture across legacy, cloud, and AInative platforms Architect hybrid data integration across mainframe, DB2, Snowflake, Postgres, Talend, and event streaming Design and deliver LLM and agentic AI solutions using Snowflake Cortex, Azure AI Foundry, Azure OpenAI Service, Copilot Studio, and orchestration frameworks Establish RAG, vector database, and embedding strategies for enterprise research and analytics Coordinate the continual modernization of ETL and Lakehouse architecture Enable Snowflake governance: RBAC, dynamic masking, row level security, encryption Ensure compliance with OSFI, SOX, NAIC, PIPEDA/GDPR, SEC/state insurance regulations Partner with business, risk, compliance, legal, IT, Information Security and vendors as the lead technical advisor

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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