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.