At a Glance
- Tasks: Lead AI strategy and solution architecture for enterprise clients in a dynamic tech environment.
- Company: Join a globally recognised brand with an AI-first engineering culture.
- Benefits: Competitive pay, flexible work, AI training, and opportunities for career growth.
- Other info: Mentorship opportunities and a focus on continuous learning in a collaborative team.
- Why this job: Shape the future of AI solutions while collaborating with top talent across the globe.
- Qualifications: Proven AI strategy experience and strong technical skills in mobile and cloud architectures.
The predicted salary is between 80000 - 100000 € per year.
We are seeking a Technical Solutions Delivery Manager– AI with deep technical expertise and a proven track record of defining and executing AI strategy within large-scale technology delivery programmes. This is a senior leadership role bridging strategic AI vision with hands-on solutioning – you will own the end-to-end solution architecture, lead technical presales and discovery, and shape the AI transformation roadmap for enterprise clients. The ideal candidate has personally created AI strategies in previous organisations – from gap analysis and use-case identification through to phased implementation roadmaps, governance frameworks, and value realisation tracking. You are equally comfortable presenting to C-suite executives and whiteboarding architecture with engineers. You will operate across client-facing and internal contexts: leading solution design for new engagements, defining reference architectures, mentoring engineering leads, and championing an Agentic AI-first delivery culture across the organisation.
Core Responsibilities
- Own end-to-end solution architecture for complex, multi-market mobile and digital loyalty platforms, ensuring alignment with client business objectives and technical constraints.
- Define and drive AI strategy across the SDLC – identifying automation opportunities, building use-case roadmaps aligned to PI cadence (e.g., AMJ, JAS, OND), and establishing governance for AI adoption.
- Lead technical discovery, presales, and solutioning activities with enterprise clients, translating business challenges into structured delivery proposals.
- Design reference architectures for mobile (iOS, Android, Flutter, React Native), backend (.NET, Node.js), cloud (Azure AKS, Web Apps), and AI agent integration (LangChain, CrewAI, Claude).
- Conduct solution reviews, architecture governance, and technical risk assessments across delivery squads.
- Mentor and coach Engineering Leads and Senior Engineers on architecture best practices, AI tool adoption, and technical decision-making.
- Define non-functional requirements (performance, scalability, security, accessibility) and ensure they are embedded in delivery from sprint zero.
- Represent the engineering function in programme-level steering committees, PI planning events, and client-facing reviews.
AI Proficiency Requirements
- (MANDATORY) Hands-on experience with Agentic AI tools or advanced AI-assisted workflows (e.g., AI-driven code generation, autonomous testing agents, AI-powered architecture review, Claude, Cursor, Copilot Workspace) that have demonstrably improved personal or team efficiency by 150–200%. Candidates must demonstrate specific examples during the interview process.
- Proven experience defining and executing AI strategy at an organisational or programme level – including gap analysis, use-case prioritisation, phased roadmaps, governance frameworks, and ROI tracking.
- Experience embedding AI agents across SDLC processes: requirements decomposition, design-to-code pipelines, automated test generation, intelligent deployment, and monitoring.
- Deep understanding of LLM capabilities, prompt engineering, RAG pipelines, and AI agent orchestration patterns (tool use, multi-step reasoning, autonomous task completion).
- Ability to build AI maturity assessments and capability roadmaps for engineering organisations.
Technical Requirements
- Extensive experience architecting mobile applications at enterprise scale across iOS, Android, and cross-platform frameworks (Flutter / React Native).
- Strong understanding of cloud-native architecture patterns (microservices, event-driven, serverless) on Azure or equivalent platforms.
- Experience with enterprise loyalty, rewards, or commerce platforms serving multiple markets with configuration-driven personalisation.
- Deep knowledge of CI/CD, automated testing strategies, security tooling, and DevOps best practices.
- Experience with technical presales, RFP responses, estimation, and solution proposal development.
- Proficiency with Jira, Confluence, and programme-level delivery artefacts within PI planning frameworks (SAFe or equivalent).
Desirable Skills
- Experience with Server-Driven UI (SDUI) patterns and multi-market configuration management architectures.
- Background in building or scaling engineering consultancies / capability practices.
- Published thought leadership, conference talks, or internal whitepapers on AI in engineering delivery.
- Familiarity with Azure AI services (OpenAI, Cognitive Services, ML Studio) or equivalent.
- Experience with AI-focused frameworks: LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
What We Offer
- Opportunity to work on a globally recognised consumer brand across 12+ markets.
- An AI-first engineering culture that invests in cutting-edge tools and continuous learning.
- Collaborative, distributed team environment spanning multiple geographies.
- Competitive compensation package with performance-based progression.
- Access to AI training, certifications, conference attendance, and dedicated innovation time.
- Flexible working arrangements with a focus on outcomes over hours.
Technical Solutions Delivery Manager– AI in Warrington employer: MSE Technology
As a Technical Solutions Delivery Manager– AI, you will thrive in an innovative and AI-first engineering culture that prioritises continuous learning and cutting-edge tools. Our collaborative, distributed team environment spans multiple geographies, offering you the chance to work on a globally recognised consumer brand while enjoying flexible working arrangements and a competitive compensation package with performance-based progression. We are committed to your professional growth, providing access to AI training, certifications, and dedicated innovation time, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Solutions Delivery Manager– AI in Warrington
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and tech solutions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past projects and successes in AI strategy and solution delivery. This is your chance to demonstrate your hands-on experience and how you've made an impact in previous roles.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and technical solutions. Be ready to discuss your approach to gap analysis, use-case identification, and how you've led successful AI transformations in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our AI-first culture.
We think you need these skills to ace Technical Solutions Delivery Manager– AI in Warrington
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI strategy and solution architecture. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Expertise:When detailing your experience, focus on specific AI tools and methodologies you've used. We love seeing concrete examples of how you've improved efficiency or led successful projects, so be as detailed as possible!
Be Clear and Concise:Keep your application straightforward and to the point. Use bullet points for easy reading and make sure to emphasise your leadership experience and ability to bridge technical and business needs.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at MSE Technology
✨Know Your AI Tools Inside Out
Make sure you have hands-on experience with Agentic AI tools and can share specific examples of how you've used them to improve efficiency. Be ready to discuss your familiarity with tools like Claude or Copilot Workspace, as this will show your technical prowess.
✨Master the Art of Solution Architecture
Prepare to talk about your experience in defining end-to-end solution architectures. Think about how you've aligned technical solutions with business objectives in previous roles, and be ready to present a structured delivery proposal based on real-world challenges.
✨Showcase Your Leadership Skills
As a senior role, they’ll want to see your ability to mentor and coach others. Prepare examples of how you've guided engineering leads or teams in adopting AI strategies and best practices, highlighting your leadership style and impact.
✨Be Ready for Technical Deep Dives
Expect to dive deep into technical discussions, especially around cloud-native architecture and mobile application development. Brush up on your knowledge of microservices, CI/CD, and automated testing strategies, as these are crucial for the role.
