> Markdown version of [/jobs/ext/4083584-technical-delivery-lead](https://www.wearedevelopers.com/jobs/ext/4083584-technical-delivery-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Delivery Lead - **Company:** Mott MacDonald - **Location:** London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computing Platforms, Computer Vision, Microsoft Azure, Cyber Security, System Configuration, DevOps, Github, Machine Learning, Cloud Services, Microsoft SharePoint, Software Engineering, Systems Integration, Digital Twin, Esri GIS (Software), Agentic-AI, Microsoft Copilot Studio, Low-code, Azure AI, Autodesk Autocad, Data Pipelines - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7a84bf527f2af96d ## About the Role * Proven experience leading complex digital or innovation projects and programmes end-to-end, including successful transition from concept or pilot to scaled deployment. * Strong hands-on project management capability across scope, plans, budgets, resources, governance, risk, dependencies, quality, change, suppliers, stakeholder communications and benefits. * Demonstrable experience leading teams that build AI agents, together with practical experience personally building, configuring, integrating, testing and troubleshooting AI agents. * Working knowledge of both low-code and pro-code AI delivery, with the judgement to select and combine them appropriately. * Technical fluency across modern AI, data and software delivery, including APIs, integrations, cloud services, data pipelines, testing, deployment, observability, security and support. * Understanding of applied AI and automation capabilities, including advanced analytics, machine learning and computer vision, and the controls needed to use them responsibly. * Experience delivering solutions that connect physical systems or hardware and data capture with analytics, AI and software platforms. * Evidence of turning prototypes into robust, repeatable, supportable and scalable products or services. * Experience developing business cases, governance models, delivery structures, cost and resource models, and deployment or operating blueprints. * Ability to address data, intellectual-property, responsible-AI, contractual and commercial considerations 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. * Proactive and challenging of 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. Desirable: * 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, software development languages and integration patterns used to build pro-code AI solutions. * Knowledge of solution architecture and experience working with architects to implement secure, resilient and supportable standards. * Experience of Architectural, Engineering and Construction tool ecosystems or geospatial and digital-twin platforms, such as Autodesk Platform Services, Bentley iTwin or Esri. * Experience in engineering, infrastructure, the built environment or another asset-intensive sector * A recognised project, programme, product or agile delivery qualification, or equivalent practical experience. * Experience with engineering project contracts, including administering contracts and assessing risks relating to AI solutions, is advantageous. 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. ## Description This is a hands-on leadership role for an experienced project manager who combines disciplined delivery management with strong technical understanding and practical engineering capability. You will lead multidisciplinary teams that create AI agents and wider AI and automation solutions. You will own complex digital and innovation projects and programmes end-to-end, from concept and business case through design, build and assurance to deployment, adoption and scaled operation. A central part of the role is turning promising pilots into robust, repeatable and scalable tools that deliver measurable value. You will be expected to move between governance forums, delivery plans and stakeholder decisions and practical work such as prototyping agents, shaping workflows, connecting data and tools, reviewing technical designs, testing behaviour and resolving delivery blockers. Key responsibilities and duties include: End-to-end delivery leadership * Shape the opportunity. Work with business users and domain specialists to define the problem, intended outcomes, scope, success measures, constraints and route to value. * Lead from concept to scale. Own complex digital and innovation projects and programmes through discovery, business case, design, build, test, deployment, adoption, benefits realisation and transition into sustainable operations. * Plan and control delivery. Establish integrated delivery plans, milestones, budgets, resource profiles, dependencies and critical paths; manage risks, assumptions, issues, decisions and change control. Understand when to escalate and strong focus on risks as well as unblocking challenges. * Coordinate multidisciplinary teams. Bring together technical delivery, data science, software development, engineering, design, domain and operational expertise, ensuring that responsibilities and interfaces are understood. * Assure adoption and service readiness. Plan testing, user acceptance, training, communications, deployment, operational support, monitoring and handover so that solutions are adopted and sustained. AI agents and technical delivery * Deliver applied AI and automation. Lead initiatives involving advanced analytics, machine learning, computer vision and intelligent automation, translating technical possibilities into practical, safe and valuable solutions. * Build agents. Hands-on and prototype, configure, code, integrate, test and debug AI agents using low-code approaches. This includes prompt and instruction design, knowledge grounding, retrieval, tool and action integration, workflow orchestration, and evaluation. * Select the right implementation path. Understand the strengths, limitations and trade-offs of low-code and pro-code AI capabilities, and choose an approach based on speed, control, integration complexity, security, scale, maintainability, cost and supportability. * Design for responsible use. Embed data protection, information security, responsible AI, human oversight, traceability, evaluation and proportionate controls throughout the delivery lifecycle. Scaling, governance and commercial value * Turn pilots into products. Move prototypes beyond proof of concept by establishing repeatable delivery patterns, reusable components, production-grade controls, operational ownership, documentation and deployment playbooks. * Enable reuse. Manage contractual, commercial and intellectual-property considerations with the relevant specialists so that solutions, components and learning can be reused appropriately across projects. Stakeholder and people leadership * Translate between audiences. Explain complex technical choices in clear business language and convert user and business needs into actionable technical and delivery requirements. * Lead and develop people. Line manage and mentor delivery leads, setting clear objectives, giving constructive feedback, supporting career development and building delivery capability. * Create an effective team culture. Coach team members, remove blockers and foster ownership, inclusion, learning, quality and pragmatic decision-making., * Life assurance equal up to 4 x your basic salary, with an option to increase the level of cover to 6 x your salary. * Our income protection scheme provides a financial benefit, as well as absence and return to work support due to long-term illness or injury. * Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. * As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes. Employee Ownership * Our employee ownership model means no external investors, just us, creating a culture of shared success. * Our employees have a stake and a voice in our business, giving them a direct connection to our success through our personal and group performance bonuses. * As your career grows, so does your stake, recognising your long-term impact and contribution. * Your voice matters, with the opportunity to connect directly with senior leadership through formal channels to help shape our future. * For our senior roles you will have a direct pathway towards ownership from day one. Health and wellbeing * Private medical insurance for all UK colleagues. * Health cash plan to support you with every day health costs and treatments. * Access to Peppy, providing free support from menopause experts for all UK colleagues. * A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. * Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too.