Senior AI & Automation Engineer (Microsoft Copilot & Power Platform)

Intellegens Inc. is seeking a Senior AI & Automation Engineer to design, develop, integrate, and deploy enterprise AI agents, Microsoft Power Platform solutions, and intelligent automation. The role partners with stakeholders to identify opportunities, deliver production-ready solutions, and ensure governance, security, scalability, and operational excellence.

Responsibilities:

• Design, build, and deploy enterprise AI agents using Microsoft Copilot Studio, Azure AI Foundry, and Microsoft AI services
• Develop custom enterprise actions, tools, connectors, APIs and orchestration workflows for AI-driven business processes
• Design and implement agent orchestration, grounding, agent routing, tool-calling frameworks, multi-agent & domain-specific AI assistants and integrations
• Build and optimize Retrieval Augmented Generation (RAG) pipelines, including complete understanding of both Indexing Phase (Offline) and Retrieval & Generation Phase (Online)
• Develop reusable prompts, agent templates, actions, grounding mechanisms, and enterprise AI integration patterns for rapid deployment across departments
• Conduct testing, debugging, evaluation, optimization, versioning, monitoring, and maintaining an enterprise registry of agents
• Implement guardrails, responsible AI controls, access levels, auditability, monitoring, and governance standards for the production agents
• Maintain an enterprise catalog of AI agents and automation assets
• Develop enterprise solutions utilizing Power Apps, Power Automate, Power Pages, Dataverse, and Copilot Studio
• Build cloud flows, approval workflows, event-driven automations, scheduled processes, and system-to-system integrations using Power Automate
• Develop custom connectors and reusable Power Platform components
• Integrate Power Platform solutions Copilot Studio agents, enterprise AI services and Microsoft cloud services
• Design and implement integrations of AI agents and Power Platform solutions with platforms like SAP, Salesforce, ServiceNow, SQL Server, SharePoint, Microsoft 365 and other platforms within the AACo ecosystem
• Develop and maintain REST APIs, custom connectors, integration services and automation workflows
• Integrate enterprise applications through approved integration platforms and API layers where appropriate
• Design, develop and implement secure authentication, authorization, identity management, secrets management, and data access across systems
• Ensure high availability, scalability, reliability, and maintainability of enterprise integrations
• Prepare structured and unstructured enterprise data for AI and automation use cases
• Build and optimize Retrieval Augmented Generation (RAG) pipelines
• Indexing Phase (Offline): Data Collection → Content Extraction & Cleaning → Normalization/Deduplication → Metadata Enrichment → Document Chunking → Embedding Generation → Vector Index Creation → Vector Storage (with metadata) → Validation & Re-indexing; &
• Retrieval & Generation Phase (Online): User Query → Query Preprocessing → Query Embedding → Similarity Search/Retrieval → Re-ranking & Filtering → Context Assembly (Augmentation) → Prompt Construction → LLM Generation → Response Post-processing/Citation Injection → Final Answer Delivery
• Implement RAG quality controls, retrieval evaluation, grounding validation, and optimization
• Implement vector search and knowledge retrieval capabilities based on solution requirements using technologies like Azure AI Search, SQL Server, Dataverse, Redis and Vector Databases etc
• Manage metadata, governance, lineage, retention, and access control requirements
• Ensure compliance with enterprise security, privacy, and data governance standards
• Ensure AI agents and Power Platform solutions respect source-system permissions and enterprise data boundaries
• Partner directly with departments & business units to understand workflows, identify operational challenges and AI automation opportunities
• Conduct discovery sessions, workshops, and solution design engagements with stakeholders
• Translate business requirements into technical solutions, user stories, architecture, and implementation plans
• Identify opportunities where a Copilot agent, Power App, Power Automate workflow, traditional API/application, or combination of these technologies is the most appropriate solution
• Rapidly prototype, test and deploy AI agents, Power Apps, workflows, integrations and automation solutions in agile delivery cycles
• Lead proof-of-concept initiatives and scale successful solutions into enterprise production environments
• Collaborate with application owners, security, infrastructure, architecture, data, and business teams to ensure successful solution deployment
• Establish reusable patterns and frameworks for organization-wide adoption
• Implement CI/CD pipelines and Application Lifecycle Management (ALM) practices for AI agents and Power Platform solutions
• Manage source control, environment configurations, solution versioning, release documentation and deployment automation
• Establish monitoring, telemetry, logging, and operational support procedures for deployed AI agents and applications
• Monitor AI usage, model/ token consumption, API utilization, Power Platform capacity, performance and operating costs
• Ensure adherence to cybersecurity, compliance, data privacy, change-management, governance, and architectural standards
• Maintain comprehensive technical documentation, solution architecture, integration specifications, and support procedures