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About the Role

We are looking for an AI Implementation Delivery Lead to join our Digital Value Implementation team. This is a hands-on leadership role for an experienced engineer or project manager who combines disciplined delivery management, strong technical understanding, and practical experience of delivering new engineering capabilities. You will lead multidisciplinary teams that create automations, AI agents, and wider AI-enabled tools for our Major Projects.

Responsibilities

Shape the opportunity, defining the problem, intended outcomes, scope, success measures, constraints, and route to value.
Lead complex digital and innovation projects and programmes from concept through to scale, including discovery, business case, design, build, test, deployment, adoption, and benefits realisation.
Establish integrated delivery plans, milestones, budgets, resource profiles, dependencies, and critical paths; manage risks, assumptions, issues, decisions, and change control.
Coordinate multidisciplinary teams, ensuring responsibilities and interfaces are understood.
Plan testing, user acceptance, training, communications, deployment, operational support, monitoring, and handover to ensure solutions are adopted and sustained.
Lead initiatives involving advanced analytics, machine learning, computer vision, and intelligent automation.
Guide teams through prototyping, configuration, coding, integration, testing, and debugging of Copilot AI agents.
Assure solutions meet project needs and development principles and requirements.
Select the right implementation path based on speed, control, integration complexity, security, scale, maintainability, cost, and supportability.
Ensure embedding of data protection, information security, responsible AI, human oversight, traceability, evaluation, and proportionate controls.
Navigate contractual, commercial, and intellectual-property considerations for solution reuse.
Establish repeatable delivery patterns aligned to scaling mechanisms and coordinate early-stage product management duties.
Explain complex technical choices in clear business and non-technical language.
Convert user and business needs into actionable technical and delivery requirements.
Line manage and mentor AI Implementation Delivery team members, setting objectives, giving feedback, and supporting career development.
Coach team members, remove blockers, and foster ownership, inclusion, learning, quality, and pragmatic decision-making.

Requirements

Proven experience leading digital or innovation projects and programmes, including successful transition from concept or pilot to adoption and readiness for scaling.
Strong hands-on project experience delivering technical design or project management.
Experience developing and implementing digital solutions centred on or enabled by automation and Copilot AI agents.
Practical experience personally building, configuring, integrating, testing, and troubleshooting AI agents.
Working knowledge of common platforms for automation and AI Agent delivery, with the judgement to select and combine them appropriately.
Technical fluency across core automation, Co-pilot AI, Agent, data and software delivery concepts, including implementation and adoption challenges.
Understanding of applied AI and automation capabilities and the controls needed to use them responsibly.
Evidence of turning prototypes into robust and repeatable solutions for use by project teams.
Working knowledge of addressing related challenges around data, intellectual-property, responsible-AI, contractual and commercial considerations.
Ability to work in partnership with relevant specialists.
Experience coordinating multidisciplinary teams that include technical, analytical, engineering, domain, and business contributors.
Excellent communication and stakeholder-management skills, including the ability to explain technical subjects plainly, facilitate decisions and constructively challenge assumptions.
Line-management and mentoring experience, with a record of developing delivery professionals and building high-performing teams.
A practical, collaborative, and outcomes-focused approach, with the willingness to roll up your sleeves and work directly on delivery problems.
Willingness to challenge best practices, ways of working and enablement; comfortable challenging business processes and supporting collaborative enablement.
Risk focused: proactive, focus on risks for complex initiatives that have dependencies or high uncertainty.
Experience developing business cases, governance models, delivery structures, cost and resource models, and deployment or operating blueprints.
Experience with Microsoft’s AI and cloud ecosystem, for example Copilot Studio, Power Platform, Azure AI capabilities, Azure, SharePoint, DevOps, or GitHub.
Experience with agent frameworks, and relevant software development languages.
Knowledge of solution architecture and experience working with enterprise teams to implement secure, resilient, and supportable standards.
Knowledge of Architectural, Engineering and Construction tool ecosystems, such as Autodesk Platform Services, Bentley iTwin or Esri.
Experience in engineering, infrastructure, the built environment, or another asset-intensive sector.
Demonstrable experience leading teams that build automations or AI agents, together with practical experience personally building, configuring, integrating, testing, and troubleshooting them.
Evidence of evolving solutions to supportable and scalable products or services.
A recognised project, programme, product or agile delivery qualification, or equivalent practical experience.

Skills

Automation
AI Agents
Copilot AI
Delivery Management
Project Management
Technical Delivery
Data Science
Software Development
Engineering
Design
Domain Expertise
Operational Expertise
Advanced Analytics
Machine Learning
Computer Vision
Intelligent Automation
Prototyping
Configuration
Integration
Testing
Debugging
Data Protection
Information Security
Responsible AI
Human Oversight
Traceability
Evaluation
Contractual Considerations
Commercial Considerations
Intellectual Property
Stakeholder Management
Mentoring
Team Leadership
Risk Management
Business Case Development
Governance Models
Delivery Structures
Cost Models
Resource Models
Deployment Blueprints
Operating Blueprints
Microsoft AI Ecosystem
Microsoft Cloud Ecosystem
Copilot Studio
Power Platform
Azure AI Capabilities
Azure
SharePoint
DevOps
GitHub
Agent Frameworks
Software Development Languages
Solution Architecture
Autodesk Platform Services
Bentley iTwin
Esri
Engineering
Infrastructure
Built Environment
Asset-Intensive Sector

Location

UK-wide

Work Type

Hybrid working

Experience Level

Experienced engineer or project manager

Benefits

Pension contributions matched between 4.5% and 7%
Life assurance equal up to 4 x basic salary, with an option to increase to 6 x salary
Income protection scheme providing financial benefit, absence and return to work support
Flexible benefits including increased life assurance cover, critical illness insurance, payroll saving and will writing
Annual bonus schemes
Private medical insurance for all UK colleagues
Health cash plan
Access to Peppy for menopause support
Comprehensive wellbeing program with family access
Ability to flex salary for a wide range of health benefits, extendable to family
Minimum of 33-35 days holiday each year, inclusive of public holidays
Ability to buy or sell leave
10 days additional paid leave for Armed Forces Reservists and Cadet Force Adult Volunteers
Holiday entitlement increased to a minimum of 35 days after 5 years’ service
Variety of employee saving schemes and discounts
Enhanced family leave policies, including 26 weeks paid maternity and adoption leave
Two weeks paid paternity/partner leave
Shared parental leave matching maternity leave (up to 24 weeks at full pay)
Up to five additional days leave for significant caring responsibilities (two paid)
Policies and dedicated support for military families
Primary annual professional institution subscription
Broad range of opportunities to enhance technical and soft skills through mentoring, formal training, and self-development options

About the Company

Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices.
We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve.
Our people power our performance – we succeed when they do.
With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual.
Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you’re surrounded by global specialists who want to combine their expertise and champion you to be your best.
As a proudly employee-owned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued.
Whatever your ambition, Mott MacDonald is where people come to be brilliant.
Mott MacDonald’s support services are the driving force behind our organisation, enabling us to run efficiently and effectively.
The team works collaboratively to offer specialist advice, best practice, and technology to all areas of our business, specifically designed for our global reach.

Equal Opportunity

We are actively recruiting a diverse workforce that is reflective of the communities we serve.
We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds.
We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all.
We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute.