At a Glance
- Tasks: Lead and scale AI capabilities, shaping strategies and driving impactful solutions.
- Company: Join a dynamic Microsoft Partner with a focus on innovation and collaboration.
- Benefits: Competitive salary, professional development, and opportunities to influence AI strategy.
- Why this job: Be at the forefront of AI technology, making a real difference in customer success.
- Qualifications: Proven experience in AI leadership and expertise in Microsoft technologies.
- Other info: Exciting role with potential for significant career growth and influence.
The predicted salary is between 48000 - 72000 ÂŁ per year.
A Microsoft Partner is seeking an AI Practice Lead to be responsible for building, scaling, and governing the company’s AI capability. The role combines strategic execution, technical authority, and commercial accountability, with responsibilities ranging from defining AI operating models, developing AI propositions, and overseeing practice‑level KPIs, to shaping customer opportunities and ensuring responsible, secure AI implementation. You will guide architectural decisions within the Microsoft ecosystem, support pre‑sales activities, build trusted customer relationships, and represent as an AI thought leader.
Key responsibilities:- Establish, lead and scale a high performing AI Practice, defining its operating model and strategic contribution.
- Develop and maintain a compelling portfolio of AI propositions, offerings, and accelerators aligned to the company’s AI strategy.
- Own and drive practice level KPIs, including revenue contribution, utilisation, capability maturity, and customer outcomes.
- Lead the development of AI capability across the organisation, upskilling consultants, architects, and delivery teams.
- Design and deliver internal AI training and enablement programs to mature AI skills.
- Own execution of the AI Strategy Delivery Plan, turning strategy into measurable delivery outcomes.
- Identify and shape AI opportunities within customer accounts to drive business value.
- Define frameworks, standards, and governance for responsible and secure AI delivery.
- Lead design of AI‑enabled solutions across Microsoft technologies, including architectural decision‑making.
- Support pre‑sales, proposal development, and senior customer engagement, acting as an AI thought leader.
- Proven experience establishing, leading, or scaling an AI capability, practice, or Centre of Excellence within a consultancy or Microsoft Partner environment.
- Deep expertise in enterprise AI solution design, including generative AI, Azure OpenAI, Copilot Studio, RAG, cognitive services, and data orchestration patterns.
- Strong background in the Microsoft ecosystem, especially Dynamics 365, Power Platform, and Azure services.
- Hands‑on experience shaping AI propositions, supporting sales pursuits, and contributing to revenue growth through AI‑enabled solutions.
- Robust architectural grounding, with the ability to define and govern AI‑specific design decisions, patterns, and non‑functional requirements.
- Solid understanding of governance, compliance, privacy, and responsible AI, particularly in enterprise and public‑sector contexts.
- Experience influencing senior stakeholders and C‑suite leaders, guiding strategy, design, and technical outcomes.
- Demonstrated ability to define and execute AI strategy, translating it into practical delivery and repeatable frameworks.
- Strong leadership within matrix environments, coordinating specialists and influencing without direct line management.
- Commercial awareness, including the ability to shape proposals, articulate value, and support pre‑sales and client engagement.
AI Practice Lead in London employer: Hancock & Parsons Ltd
Contact Detail:
Hancock & Parsons Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Practice Lead in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your AI projects and achievements. This will give you an edge when discussing your experience during interviews and help you stand out from the crowd.
✨Tip Number 3
Prepare for those tricky interview questions! Research common AI-related questions and practice your responses. We want you to feel confident and ready to impress your future employer with your knowledge and insights.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Practice Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI Practice Lead role. Highlight your experience in building and scaling AI capabilities, and don’t forget to mention any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you the perfect fit for this role. Be sure to connect your skills with the responsibilities listed in the job description.
Showcase Your Technical Expertise: Since this role requires deep expertise in enterprise AI solution design, make sure to include specific examples of your work with technologies like Azure OpenAI and Dynamics 365. This will help us see your technical authority right away!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Hancock & Parsons Ltd
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those related to Microsoft. Be ready to discuss your experience with generative AI, Azure OpenAI, and other relevant tools. This will show that you're not just familiar with the concepts but can also apply them practically.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led AI initiatives or teams in the past. Highlight your ability to influence stakeholders and drive strategy. This role is all about leadership, so demonstrating your experience in guiding teams and projects will be crucial.
✨Understand the Business Side
Familiarise yourself with how AI can drive business value. Be ready to discuss how you've contributed to revenue growth through AI solutions. This will help you connect your technical expertise with the commercial accountability aspect of the role.
✨Prepare for Scenario Questions
Think about potential scenarios you might face in this role, such as designing an AI solution or addressing compliance issues. Practising your responses will help you articulate your thought process clearly during the interview, showcasing your problem-solving skills.