> Markdown version of [/jobs/ext/4679500-technical-program-manager-uk-i](https://www.wearedevelopers.com/jobs/ext/4679500-technical-program-manager-uk-i). 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 Program Manager - UK&I - **Company:** S:23 Recruitment - **Location:** London, United Kingdom - **Salary:** £75,000 - £80,000 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Python (Programming Language), OAuth, Scrum Methodology, Systems Development Life Cycle, Openid Connect, Cloud Services, Single Sign-On, Software Deployment, SQL Databases, Systems Integration, Management of Software Versions, Core Voice Platform, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Performance Monitor, Low-code, Graphql, Restful APIs, Webhooks - **Published:** November 12, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5961473834 ## About the Role * Proven experience in technical program management, project management or delivery management * A track record of running customer-facing technical projects with multiple stakeholders * A good grasp of SDLC, Agile, Scrum and Waterfall * Strong customer and stakeholder management skills * Practical knowledge of APIs and integration technologies (REST, GraphQL, webhooks) and authentication (OAuth 2.0, OpenID Connect, SSO) * Hands-on exposure to Generative AI, Agentic AI, prompt engineering, RAG and MCP * Experience with AI testing and evaluation, including setting acceptance criteria and quality metrics * Experience designing workflows, user journeys and intent models for conversational AI * Bonus points for conversational AI platforms, low-code or workflow automation tools, SMPP and messaging tech, SQL, basic Python or JavaScript, Agile or Scrum certifications, and experience leading teams or managing vendors ## Description A global telco company is looking for a Technical Program Manager to lead the delivery of customer onboarding, technical projects and AI-powered solutions across the UK and Ireland. You'll own programs from start to finish and keep customer, engineering, product and operations teams working together, so projects land on time, on budget and deliver what was agreed. It's a hands-on delivery role that mixes solid program management with practical knowledge of Generative AI, Agentic AI, prompt engineering, RAG and production deployment. It suits someone who can sit between the business and the engineers, translate what customers need into something buildable, and keep delivery tight across the whole project lifecycle., * Run projects end to end, from initiation and planning through execution, monitoring and closure * Build and maintain project plans, milestones, dependencies, resourcing and delivery schedules * Track performance against scope, timeline, budget and quality, and report regularly to customers, stakeholders and leadership * Manage risks, issues and dependencies, and drive them to resolution * Lead customer, partner, vendor and internal meetings to keep everyone aligned * Make sure customer requirements are documented, validated and turned into clear implementation plans * Work with Product, Engineering and Solution Architects on feasibility and implementation approach * Oversee delivery involving APIs, authentication, networking, cloud services, integrations and workflow automation * Act as the day-to-day contact for customers during implementation, handling troubleshooting and escalations * Lead delivery of Agentic AI and Voice AI projects, from discovery through to deployment and post-launch optimisation * Manage AI solution design, including workflows, conversational journeys, intent modelling, multilingual experiences and NLP training * Coordinate Agentic AI builds using RAG, MCP, orchestration frameworks, LLMs and external integrations * Own the prompt engineering lifecycle, from design and testing to versioning and performance tracking * Set up AI quality assurance covering accuracy, hallucination rate, response quality, safety and user acceptance testing * Define success metrics for AI projects, monitor performance after go-live and drive ongoing improvements * Keep improving delivery methods, tools, templates and processes