AI Specialist (Copilot)
Job Summary
We are seeking an AI Specialist with hands-on expertise in building integrating and deploying solutions using Copilot Studio and Copilot Agents. The role involves designing intelligent agent workflows integrating enterprise data and tools implementing grounding and guardrails and operationalizing copilots with strong governance and lifecycle management.
Role:
Identify AI Opportunities: Work closely with different departments to identify potential AI use cases that can solve business problems and create value.
Use Case Development: Develop detailed AI use cases including problem statements objectives expected
outcomes and success metrics.
Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
Solution Design:
Develop and maintain data ingestion workflows from varied sources (APIs databases file systems).
Design and implement Copilot Agents with autonomous planning multi-turn reasoning memory and
tool/function calling.
Configure system prompts guardrails policies and content filters to ensure safety and reliability.
Build actions plugins and custom connectors to integrate with REST APIs Dataverse Dynamics 365
SharePoint Azure SQL and internal systems.
Implement RAG (Retrieval-Augmented Generation) using embeddings vector indexes and enterprise
knowledge sources.
Optimize prompt engineering for accuracy determinism and cost-performance tradeoffs.
Develop end-to-end orchestration flows in Copilot Studio including triggers branching grounding and hand-
offs to tools.
Configure data connections knowledge sources and security contexts via Entra ID and RBAC.
Role:
Identify AI Opportunities: Work closely with different departments to identify potential AI use cases that can solve business problems and create value.
Use Case Development: Develop detailed AI use cases including problem statements objectives expected
outcomes and success metrics.
Feasibility Analysis: Conduct feasibility studies to assess the technical and economic viability of proposed AI use cases.
Solution Design:
Develop and maintain data ingestion workflows from varied sources (APIs databases file systems).
Design and implement Copilot Agents with autonomous planning multi-turn reasoning memory and
tool/function calling.
Configure system prompts guardrails policies and content filters to ensure safety and reliability.
Build actions plugins and custom connectors to integrate with REST APIs Dataverse Dynamics 365
SharePoint Azure SQL and internal systems.
Implement RAG (Retrieval-Augmented Generation) using embeddings vector indexes and enterprise
knowledge sources.
Optimize prompt engineering for accuracy determinism and cost-performance tradeoffs.
Develop end-to-end orchestration flows in Copilot Studio including triggers branching grounding and hand-
offs to tools.
Configure data connections knowledge sources and security contexts via Entra ID and RBAC.