We're looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack. Key requirements include experience building and deploying GenAI agents, knowledge of MCP, and cloud expertise in Azure or AWS.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
**NO 3rd Party vendor candidates or sponsorship**
Role Title: Senior Data Scientist / AI Engineer
Employment Type: Contract-to-Hire
Duration: 1 year contract to hire
Preferred Location: Remote
Role Description:
We're looking for a Senior Data Scientist with strong hands-on experience in GenAI agent development and modern AI engineering. This role focuses on building production-grade agents, MCP integrations, and enterprise knowledge systems using our cloud and data stack.
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- Build and refine GenAI agents that interact with internal systems
- Develop MCP tools and secure integrations
- Create and maintain knowledge bases and retrieval pipelines
- Implement agent evaluation frameworks and guardrails
- Work across Azure, Snowflake, and Databricks to support production AI systems
Requirements:
Key Skills
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- 5+ years overall experience as a Data Scientist
- Experience building and deploying GenAI agents (including open-source LLM agents) in production environments
- Strong knowledge of MCP, tool integrations, and agent orchestration
- Ability to design and maintain knowledge bases, vector search, and retrieval systems
- Hands-on experience with vibe coding for rapid GenAI prototyping
- Cloud expertise in Azure (preferred) or AWS
- Strong SQL skills and experience with Snowflake
- Experience working with Databricks for data and ML workflows
- Solid background in traditional ML (classification, clustering, etc.)
- Ability to build evals, guardrails, and safety layers for agents at scale
- Experience with MLOps and LLM Observability
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