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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technology Consultant - Microsoft Automation & Agentic AI - **Company:** Cognizant - **Location:** UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Build Automation, Automation of Tests, Microsoft Azure, Business Software, Cloud Computing, Information Technology Consulting, Computer Literacy, Continuous Integration, Data Governance, Data Loss, Github, Python (Programming Language), Microsoft Dynamics, Role-Based Access Control, Search Technologies, SQL Databases, Model-Driven Development, Enterprise Software Applications, Microsoft Power Automate, Large Language Models, Prompt Engineering, SC Clearance, Build Management, Information Technology, Deployment Automation, Machine Learning Operations, Virtual Agents, Software Version Control, Powerapps, Atlassian Bamboo - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815121784-technology-consultant--microsoft-automation--agentic-ai ## About the Role We are looking for a hands-on Technology Consultant to lead the envisioning, architecture, and delivery of Microsoft automation and agentic AI solutions. You'll shape roadmaps with executive stakeholders, design and build Copilot Studio (Full), Power Platform, Dynamics 365, and Azure AI solutions, and drive measurable business impact (adoption, cycle time reduction, presales hours saved, and cost per agent action)., * Experience with emerging Copilot Studio capabilities (e.g., Computer Use agents) and Cloud PC pool for Desktop Flows. * Power Platform governance at scale (DLP, environment strategy, ALM, telemetry, CoE patterns). * Knowledge of Microsoft partner programs, incentives, and co-sell (Business Applications partner initiatives). * UK Public Sector exposure; existing SC clearance (nice to have for certain client engagements)., * Bachelor's/Master's in Computer Science, Engineering, or related discipline (or equivalent experience). * Experience in technology consulting and solution delivery, with focus on Microsoft automation and AI. Outcomes & KPIs (Measured Quarterly) ## Description * Lead discovery and envisioning workshops to identify high-value AI use cases; define problem statements, success metrics, and ROI (e.g., cycle time reduction, presales hours saved, cost per agent action). * Translate business requirements into solution options and roadmaps; present trade-offs clearly to executive and technical stakeholders. * Run demos, PoVs/PoTs/PoVs, produce proposals, SoWs, and fit-gap analyses; align co-sell motions with Microsoft field teams (CSA, PDM) and partner programs (e.g., Kickstarter). * Advise on governance, security, adoption for Copilot Agents and Power Platform at scale (environment strategy, DLP, RBAC, telemetry, ALM). Hands-on Technical Delivery * Own solution architecture for AI agents and applications using Copilot Studio (Full), Power Platform, Dynamics 365, and Azure AI; establish security, governance, and performance baselines. * Design and implement LLM-powered solutions (RAG, prompt engineering, grounded generation) with data governance, telemetry, and quality monitoring (LLMOps). * Integrate Microsoft 365 and Dynamics 365 with enterprise systems and APIs; promote reuse of organizational assets. * Build automation with Power Automate Cloud and Desktop; configure Cloud PC pool for Desktop Flows and Computer Use agents where appropriate. * Define non-functional requirements; establish CI/CD (Azure Pipelines/GitHub Actions), automated testing, and automated deployments. * Harden solutions for security, privacy, and performance; ensure reproducibility, documentation, and operational readiness. * Deliver POC/POV/POTs and production-grade implementations; guide fit-gap analysis and oversee deployments. * Champion Copilot Agent security & governance (role-based access, data loss controls, audit/observability). * Mentor engineering teams and contribute to accelerators, reference architectures, and best practices; support RPA/Desktop Flows when required., * Copilot Studio (Full) and Power Platform: Power Apps (Canvas/Model-driven), Power Automate Cloud/Desktop, Dataverse; Dynamics 365 integration. * Agentic AI: design LLM agents with LangChain/LangGraph/AutoGen; retrieval strategies; vector search. * Programming: Python and/or .NET; SQL; REST/Graph; eventing; strong integration patterns. * CI/CD & ALM: Azure DevOps or GitHub Actions; source control; pipeline gating; automated deployment. * LLMOps: telemetry, evaluation, drift detection, prompt/knowledge updates, and safe rollout practices., * Adoption & Impact: solutions deployed, monthly active users, cycle time reduction. * Financials: pipeline conversion for AI proposals, presales hours saved, cost per agent action. * Quality & Compliance: security findings, governance scorecards, observability/LLMOps coverage. What You'll Work On * AI agents & copilots for operational efficiency, knowledge retrieval, and guided workflows. * End-to-end automation with Power Automate (Cloud/Desktop) and D365/Dataverse extensions. * Secure, governed platforms with CI/CD, telemetry, and Responsible AI guardrails. ## Related Videos - [Agentic DevOps: How AI-Powered Automation Transforms Software Delivery on GitHub and Azure](https://www.wearedevelopers.com/videos/1539-agentic-devops-how-ai-powered-automation-transforms-software-delivery-on-github-and-azure) - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [From Shadow AI to Secure Intelligence: Safe AI Usage in the Enterprise](https://www.wearedevelopers.com/videos/2093-from-shadow-ai-to-secure-intelligence-safe-ai-usage-in-the-enterprise) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Liuba Gonta and Yuliya Khadasevic - GitHub Copilot Beyond the Basics - 10 Ways to Elevate Your Coding](https://www.wearedevelopers.com/magazine/490-liuba-gonta-and-yuliya-khadasevic-github-copilot-beyond-the-basics-10-ways-to-elevate-your-coding) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How we Build The Software of Tomorrow](https://www.wearedevelopers.com/magazine/120-how-we-build-the-software-of-tomorrow)