I'm Dan Manning. I turn business problems into services people rely on: leading the engineering, setting the technical standards and staying hands-on where it counts. I build AI agents that work alongside colleagues, handle self-service requests and automate business processes, with a person in control where it matters.
Results
Client outcomes are anonymised to respect confidentiality.
I originated the AI teammate concept and shaped it into an enterprise agentic AI platform, defining the product experience and technical approach and building key knowledge-management and collaboration capabilities. With extensive automated testing and staged release gates, the platform progressed to enterprise-wide availability and the work was recognised with an AWS Agent Innovator team award.
Since April 2026 I have worked in AWS’s forward-deployed engineering team, embedded with UK financial services organisations to build agentic AI alongside their architecture, engineering and governance teams and progress it towards production.
Worked across enterprise transformation programmes in financial services, the public sector, telecommunications and insurance, reaching 100+ customers over my career and connecting engineering decisions with adoption and measurable business outcomes.
Led development teams at HMRC and Zonal, and created a Customer Experience Centre of Excellence framework at AWS spanning people, process, governance and delivery capability.
I took Amazon Connect audio optimisation for Citrix from a customer proof of concept to a generally available AWS feature (Jan 2024), helping unblock large-scale enterprise contact-centre migrations, and authored AWS’s published best-practice guidance for the capability.
At Capgemini, I was lead architect for a COVID-19 AI VoiceBot for a UK public healthcare organisation, supporting automated triage and prioritisation of high-risk callers. The work contributed to Capgemini winning a 2020 AWS Partner Award.
Designed and repeatedly delivered AI enablement for enterprise engineers, alongside conference sessions at AWS re:Invent, the AWS London Summit, EMEA Innovate and the Service Desk Institute. Recognised with the AWS People Pillar Award for contribution to people, culture and enablement.
What I do
I work with the teams accountable for an outcome, turn business problems into production AI services, and establish the engineering controls and operating model needed to run them safely.
Business-case development, executive engagement and cross-functional delivery, connecting technical decisions with useful outcomes and adoption.
Amazon Bedrock and AgentCore, Strands Agents SDK, Pydantic AI, MCP, A2A, retrieval, prompts, tools and memory, supported by CI/CD and enterprise integrations.
Regression, held-out and adversarial evaluation, golden-record tests, versioned guardrails and human approval of agent outputs, with security, privacy and risk colleagues involved throughout delivery.
Technical direction, engineering standards, delivery practices and team development, grounded in software engineering and enterprise architecture.
Professional experience
Amazon Web Services
Since April 2026, in AWS’s forward-deployed engineering team: working with UK financial services customers, building agentic AI on Amazon Connect and Bedrock and taking it through governance towards production. Earlier in the role, originated and designed an award-recognised agentic knowledge platform and built its knowledge and Slack layers, working across engineering, product, UX, security, privacy and business teams.
Amazon Web Services
Took Amazon Connect audio optimisation for Citrix from a customer proof of concept to a generally available AWS feature (Jan 2024), helping unblock large-scale enterprise contact-centre migrations. Created the Customer Experience Centre of Excellence framework and shaped product roadmaps through feature requests, several of which shipped. Spoke at AWS London Summit 2023.
Amazon Web Services
Designed practical architectures with Amazon Connect, Lex and wider AWS, and built a React demo platform that cut time-to-demonstration.
Capgemini
Lead architect for an AI COVID-19 triage VoiceBot for a UK public healthcare organisation (contributing to Capgemini’s AWS Partner Award 2020 win), and lead integration architect for a major UK Government contact-centre replacement integrating six SaaS providers.
HM Revenue & Customs
Line-managed two engineers and was technical lead for a service spanning .NET, Microsoft Dynamics and SharePoint: technical direction, code reviews, DevOps guidance and Agile coaching. Led architecture for an AWS developer environment in the Securing Our Technical Future programme, owning technical governance and supplier collaboration.
Zonal Retail Data Systems
Led the LiveRES development team as line manager and technical lead. Delivered APIs and third-party integrations behind major hospitality customer wins.
One Stop Stores (Tesco Group) · The Wrekin Housing Trust · Shrewsbury College
Solutions Developer at One Stop (Mar 2015 – Jan 2016), Business System Specialist at The Wrekin Housing Trust (Oct 2010 – Feb 2015) and Web Developer at Shrewsbury College (Nov 2006 – Oct 2010): business-critical applications, APIs, reporting and process automation across retail, housing and education.
Speaker and press bio
Dan Manning is an AI and automation engineering leader and Senior Applied AI Specialist Solutions Architect at Amazon Web Services. His experience combines forward-deployed AI delivery, an award-winning enterprise agent platform and development team leadership at HMRC and Zonal. Over 20 years, he has worked across software development, cloud platforms and enterprise transformation in financial services, government, healthcare and telecommunications. He speaks on applied AI, agentic systems and responsible adoption.
Let's talk
If you want AI agents taken from an idea to something people use, or want to talk about engineering leadership or speaking, get in touch.
Dan's Profile Assistant
Prepared answers, plus a route to the live agent demos