At a Glance
- Tasks: Lead AI platform strategy and manage engineering teams to drive innovation.
- Company: Dynamic tech organisation focused on AI and LLM initiatives.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Join a fast-paced environment with a focus on responsible AI.
- Why this job: Shape the future of AI while collaborating with talented teams.
- Qualifications: Experience in AI platforms, leadership, and cloud-native architectures.
The predicted salary is between 80000 - 100000 £ per year.
The organisation is seeking an AI Platform Manager to lead the strategy, direction, and operational excellence of its AI platform. This role oversees three engineering teams responsible for building and scaling the platform capabilities that power AI and LLM initiatives across the business.
You will shape the platform roadmap, drive alignment with senior stakeholders, and ensure the platform provides the tooling, infrastructure, and governance needed for teams to build AI solutions at scale.
Key Responsibilities- Lead and coordinate three engineering teams focused on AI platform development, infrastructure, and tooling.
- Define and evolve the AI platform strategy, covering LLM integration, model lifecycle, evaluation, governance, and developer enablement.
- Partner with product, engineering, and data stakeholders to align priorities and ensure platform capabilities meet organisational needs.
- Provide direction on best practices for LLM usage, retrieval workflows, evaluation frameworks, and responsible AI.
- Oversee architectural decisions, tooling selection, and AWS-based infrastructure supporting AI workloads.
- Ensure the platform is scalable, secure, cost-efficient, and compliant with organisational and regulatory standards.
- Drive adoption of platform capabilities through communication, enablement, and cross-team collaboration.
- Monitor platform performance, operational health, and usage patterns to guide continuous improvement.
- Leadership experience managing multiple engineering or platform teams.
- Strong expertise in LLMs, generative AI, embeddings, vector search, and evaluation tooling.
- Deep understanding of AWS services and cloud-native architectures.
- Proven ability to influence senior stakeholders and drive cross-functional alignment.
- Experience defining platform roadmaps and delivering large-scale technical initiatives.
- Solid grounding in AI governance, responsible AI, and data security.
- Background in AI platform engineering, ML platform management, or internal developer platforms.
- Familiarity with RAG pipelines, agentic workflows, and model fine-tuning.
- Experience optimising AI workloads for cost and performance.
- Ability to translate complex technical concepts into clear business narratives.
- Three teams operating with strong alignment, autonomy, and delivery momentum.
- A clear, widely adopted AI platform strategy.
- Strong trust and alignment with senior stakeholders.
- Scalable, secure, and cost-efficient AI capabilities powering multiple products.
- A well-governed environment for experimentation and productionisation of LLM-based features.
AI Platform Manager in London employer: Teksystems
As an AI Platform Manager at our London-based organisation, you will thrive in a dynamic and innovative work culture that prioritises collaboration and professional growth. With a strong focus on cutting-edge AI technologies and a commitment to operational excellence, we offer unique opportunities for career advancement while ensuring a supportive environment where your contributions are valued. Join us to lead impactful projects in a hybrid work setting that balances flexibility with team engagement.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI platforms and LLMs. This gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of AWS services and AI governance. We want to see you shine when discussing your experience with stakeholders.
✨Tip Number 4
Apply through our website! It’s the best 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 Platform Manager in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI platforms and leadership. We want to see how your skills align with the role of AI Platform Manager, so don’t hold back!
Showcase Your Technical Expertise:Don’t forget to mention your knowledge of LLMs, AWS services, and cloud-native architectures. We’re looking for someone who can hit the ground running, so let us know how you’ve used these technologies in past roles.
Highlight Your Leadership Skills:Since this role involves managing multiple teams, it’s crucial to demonstrate your leadership experience. Share examples of how you've successfully led teams and driven cross-functional alignment in previous positions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Teksystems
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, generative AI, and AWS services. Be ready to discuss how these technologies can be integrated into a platform strategy. The more you can demonstrate your expertise, the better!
✨Showcase Your Leadership Skills
Since this role involves managing multiple engineering teams, prepare examples of how you've successfully led teams in the past. Highlight your ability to drive alignment and influence senior stakeholders—this will show that you're ready for the challenge.
✨Understand the Business Side
Be prepared to translate complex technical concepts into clear business narratives. Think about how you can communicate the value of AI capabilities to non-technical stakeholders. This will set you apart as someone who can bridge the gap between tech and business.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific challenges related to platform governance, scalability, or cost-efficiency. Think through potential scenarios and have a few strategies ready to share. This shows you're proactive and solution-oriented!
