Role & seniority: AI Automation Engineer (mid-to-senior, hands-on engineering and adoption lead)

Stack/tools: Microsoft Copilot, Copilot Studio, Power Automate, Power Platform, Azure AI (OpenAI models, Cognitive Search, AI Services), C#, APIs, custom connectors/integrations, Azure services

Top 3 responsibilities

Design, build, and operationalise AI-powered workflows and copilots across the Microsoft stack; develop connectors, plugins, and integrations
Implement Azure AI solutions, craft prompt engineering patterns, and create reusable AI components and accelerators
Drive adoption: run workshops/trainings, measure usage, document best practices, and align designs with security, compliance, and architectural standards

Must-have skills

Strong experience with Microsoft Copilot and Copilot Studio
Advanced Power Automate and Power Platform integrations
Solid understanding of Azure AI ecosystem (Azure OpenAI, Cognitive Search, AI Services)
Practical C# development; API integration and workflow automation
Prompt engineering for structured/unstructured tasks; end-user training/delivery

Nice-to-haves

Experience delivering enterprise-scale AI adoption programs; familiarity with security/compliance collaboration in deployments
Ability to translate business requirements into practical AI/automation solutions; experience creating guides and playbooks
Location & work type: London-based; full-time role (on-site/hybrid unspecified) with s

Full Description

This is an excellent opportunity for a AI AUTOMATION ENGINEER to design, develop, and operationalise intelligent productivity solutions across the Microsoft ecosystem, for a leading Global WEALTH & INVESTMENT MANAGEMENT FIRM.

Based in LONDON this AI AUTOMATION ENGINEER role offers a salary of £70,000 - £80,000

You will focus on Copilot, Power Automate, Copilot Studio, Azure AI capabilities, and custom automation frameworks - enabling end users to work smarter and faster. Along with this, you will blend technical engineering skills (C#, integration work, workflow design) with an understanding of how users adopt and engage with new AI technology. This includes building solutions, training users, and driving adoption across the organisation.

THE COMPANY

An established global WEALTH AND INVESTMENT MANAGEMENT BUSINESS, providing asset management, wealth platform technology and portfolio services to financial intermediaries and private clients. The firm delivers investment solutions, trading capabilities and digital platforms to support wealth managers and investors globally.
As the business accelerates its adoption of AI-enabled productivity and automation, they’re hiring an AI Automation Engineer to lead the practical implementation of Copilot, Power Platform and Azure AI across the organisation.

THE ROLE

Build AI-powered workflows using Power Automate, Copilot Workflows, and Copilot Studio.
Develop custom connectors, plugins, and integrations using C#, APIs, and Azure services.
Implement solutions using the Azure AI ecosystem (OpenAI models, Azure AI Search, orchestration, prompt flows).
Design, test, and optimise prompt engineering patterns for internal and external AI solutions.
Create reusable AI components, templates, and “accelerators” for business teams.
Configure, customise, and extend Microsoft Copilot across M365 (Teams, Outlook, Excel, Word, Power Platform).
Build copilots, agents, and automations that interact with enterprise data sources.
Work with security and compliance teams to ensure safe and appropriate deployment.
Run workshops, training sessions, and drop‑in clinics for end users.
Measure adoption, gather feedback, and iterate on solutions.
Create simple guides, playbooks, and best‑practice documentation supporting AI literacy.
Serve as an internal consultant for business teams seeking automation opportunities.
Translate business requirements into practical AI/automation solutions.
Ensure designs follow architectural best practices (security, scalability, observability).
Work collaboratively with engineering, cyber security, and data teams.

REQUIRED SKILLS

Strong experience with Microsoft Copilot and Copilot Studio.
Advanced skills in Power Automate and Power Platform integrations.
Solid understanding of the Azure AI ecosystem (Azure OpenAI, Cognitive Search, AI Services).
Practical experience in C# development.
Experience integrating APIs, building connectors, and automating business workflows.
Competence in prompt engineering for both structured and unstructured tasks.
Experience delivering end‑user training, workshops or hands‑on support.

AI AUTOMATION ENGINEER - design productivity solutions in Global INVESTMENT MANAGEMENT FIRM – LONDON, £70,000 - £80,000