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Technology Consultant — Microsoft Automation & Agentic AI

Cognizant

Greater London

On-site

GBP 50,000 - 70,000

Full time

Yesterday
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Job summary

A leading technology consulting firm is looking for a hands-on Technology Consultant to lead the architecture and delivery of Microsoft automation solutions. This role entails working closely with executive stakeholders to identify high-value AI use cases and design effective solutions. Candidates should have strong experience in technology consulting, a relevant degree, and proficiency in Microsoft tools like Power Platform and Copilot Studio. The position offers the opportunity to drive impactful AI initiatives and provides a collaborative work environment.

Benefits

Competitive salary
Career development opportunities
Flexible working conditions

Qualifications

  • Bachelor’s/Master’s in a related field.
  • Experience in technology consulting with Microsoft solutions.
  • Proven ability to lead workshops and translate business needs.

Responsibilities

  • Lead discovery workshops for AI use case identification.
  • Design architecture for AI solutions.
  • Mentor engineering teams and oversee deployments.

Skills

Structured communication
Stakeholder management
Python and/or .NET
SQL
Copilot Studio (Full)
Power Platform
Agentic AI
CI/CD & ALM experience
Security & Governance
LLMOps

Education

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

Tools

Power Apps
Power Automate
Azure DevOps or GitHub Actions
Job description

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
Technology Consulting
  • 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.
Required Skills & Competencies
Consulting Core
  • Structured communication (storylining, executive summaries, data‑backed recommendations).
  • 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.
  • Security & Governance: DLP, RBAC, environment strategy, audit/telemetry; secure‑by‑design and Responsible AI practices.
  • 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).
  • Certifications: PL‑200/PL‑400/PL‑600, AI‑102, DP‑203, MB‑700.
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.
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