Technology Consultant — Microsoft Automation & Agentic AI

Cognizant; England; On-site; GBP 60,000 - 80,000; Full time

Job summary

A global IT services firm seeks a Technology Consultant specializing in Microsoft automation and agentic AI solutions. In this role, you will lead envisioning, architecture, and delivery of key projects, shaping roadmaps and collaborating with executive stakeholders. Responsibilities include conducting workshops, defining solution options, and advising on governance and security for AI agents. The ideal candidate will have a strong technical background, experience in technology consulting, and a focus on driving measurable business impact through innovative solutions.

Qualifications

• 5+ years experience in technology consulting focused on Microsoft solutions.
• Strong understanding of AI-based automation and governance.
• Proven track record in stakeholder management and workshop facilitation.

Responsibilities

• Lead discovery workshops to identify AI use cases and define success metrics.
• Own solution architecture for AI applications using Power Platform.
• Advise on governance and security for Microsoft solutions.

Skills

Microsoft automation

Agentic AI solutions

Stakeholder management

Governance and security

Python programming

CI/CD practices

Education

Bachelor’s/Master’s in Computer Science or related discipline

Tools

Copilot Studio

Power Platform

Dynamics 365

Azure AI

Azure DevOps

Job description

Technology Consultant — Microsoft Automation & Agentic AI

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).

Key Responsibilities

• 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.

Consulting Core

• Stakeholder management and workshop facilitation; bridge business and engineering.
• Solution shaping: options analysis, risk management, and commercial awareness (SoW creation, effort sizing).

Technical Core

• 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.

Preferred / Good to Have

• 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).

Education & Experience

• 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)

• 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting