Sr. Data Scientist

Packsize is redefining packaging solutions globally, and they are seeking a Sr. Data Scientist to design and operationalize AI agents within the Microsoft ecosystem. This role will involve collaborating with internal teams to develop enterprise-ready AI solutions and establish a governed AI platform.

Responsibilities:

• Define reference architecture for agentic AI solutions across Copilot Studio and Azure AI Foundry
• Establish design patterns for:
• Retrieval-Augmented Generation (RAG)
• Multi-agent orchestration
• Enterprise integrations (SAP, Salesforce, Databricks, SharePoint, Azure Ecosystem)
• Guide use-case prioritization and platform selection (Studio vs Foundry vs hybrid)
• Build and deploy production-grade AI agents, including:
• Knowledge & troubleshooting agents
• Operational / workflow automation agents
• Data and analytics-driven agents
• Implement:
• Prompt engineering and evaluation strategies
• Agent workflows and orchestration logic
• API, connector, and system integrations
• Establish enterprise AI guardrails, including:
• Security, RBAC, and identity integration (Entra ID)
• Data access boundaries and governance
• Audit logging and monitoring frameworks
• Define and implement:
• Agent lifecycle (draft → pilot → production → retirement)
• CI/CD pipelines and deployment standards
• Configure and deploy:
• Azure OpenAI / model endpoints
• Azure AI Search (vector + semantic retrieval)
• Application Insights / Log Analytics monitoring
• Build and support:
• Copilot Studio environments and orchestration layers
• Azure AI Foundry-based custom agent services
• Work directly with consultants and internal teams to:
• Co-build pilot agents
• Facilitate adoption and value-based outcomes
• Partner with data engineering team on:
• Data product and semantic layer alignment
• AI orchestration
• Observability and feedback loops
• Enable internal teams on:
• Agent design patterns
• Responsible AI practices
• Ongoing support and scaling