AI Architect || Remote

Location: Remote

Client: LTIMidntree

Min 14+years of experience

Role Overview
We are seeking a mid-level to design and implement agentic AI solutions using Microsoft Copilot Studio. This role focuses on building custom copilots, integrating enterprise knowledge sources, orchestrating multi-step agent workflows, connecting with Azure AI search and applying Application Lifecycle Management (ALM) bestpractices for scalable deployments.

Key Responsibilities

Copilot Studio Development
Build and configure custom copilots, topics, tools, and knowledge sources.
Implement agent flows using Power Automate and custom APIs.
Integrate connectors (prebuilt and custom) for enterprise systems (Dynamics, SAP, ServiceNow).
Agentic Orchestration
Apply orchestration patterns (task decomposition, multi-step flows, fallback/error handling).
ALM & Governance
Package copilots and flows into Solutions for dev/test/prod environments.
Power Platform pipelines or Azure DevOps/GitHub for CI/CD.
Manage environment variables, connection references, and Dataverse dependencies.
Observability & Compliance
Ensure data residency, DLP policies, and secure API authentication.

Preferred Qualifications (not mandatory):
Azure AI Search Integration
Design and implement hybrid/vector retrieval pipelines for enterprise RAG scenarios.
Configure semantic index and secure knowledge grounding for copilots.
Implement monitoring via Azure Application Insights and enforce Responsible AI principles.

Required Technical Skills
Copilot Studio: Authoring topics, tools, connectors, and multi-channel deployment.
Power Automate: Flow design, HTTP actions, Custom connectors, throttling/timeouts handling.
Azure AI Search: Hybrid/vector retrieval, enrichment, reranking, and integration with copilots.
ALM (Power Platform): Solutions, managed/unmanaged environments, CI/CD pipelines.
Security & Governance: AAD/Entra authentication, environment variables, DLP policies.

Preferred Experience
Working with Dataverse and Power Platform ALM and governance.
Implementing observability (Azure Monitor, App Insights).
Exposure to Responsible AI principles and enterprise compliance frameworks.
Familiarity with Agent Factory or similar operationalizationframeworks.

Soft Skills
Strong problem-solving and debugging skills.
Ability to collaborate with cross-functional teams (CSA, architects, governance leads).
Clear communication for technical and non-technical stakeholders.

Education & Certifications
Bachelor's degree in computer science, Engineering, or related field.
Microsoft certifications in Power Platform, Azure AI, or Copilot Studio (preferred).