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For Companies At a Glance
- Tasks: Lead the design and build of an AI-powered data platform with cross-functional teams.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Enjoy 33 days holiday, hybrid work, and potential contract extension.
- Other info: Fast-paced environment with opportunities for innovation and growth.
- Why this job: Make a real impact in AI while developing your leadership skills.
- Qualifications: Expertise in GenAI, LLMs, and experience in regulated industries required.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (Hybrid - 3 days/week mandatory)
Contract: 6 Months (High chance of extension)
Clearance: Active SC Clearance Required
Benefits: 33 Days Holiday (Pro-rata)
The Role
We are looking for a Technical Delivery Manager / Engineering Lead to drive the design and build of a high-priority, AI-powered data platform. You will lead cross-functional teams to deliver end-to-end solutions - from robust data ingestion pipelines to the deployment of advanced GenAI models. This is a hands-on leadership role requiring a deep understanding of modern data architecture, MLOps, and the orchestration of agentic workflows.
Key Responsibilities
- Lead Delivery: Oversee the end-to-end lifecycle of data-intensive platforms and AI solutions aligned with AIPX architecture.
- Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring.
- Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC.
- Stakeholder Management: Translate complex business requirements into actionable technical backlogs for engineering teams.
- Innovation: Evaluate emerging GenAI/LLM tech and lead PoCs to drive 'idea-to-value' at pace.
Requirements
- AI Expertise: Deep knowledge of GenAI, LLMs, and Agentic Workflows/orchestration.
- Engineering Background: Proven experience leading data engineering teams and building scalable data products.
- Regulated Industry XP: Experience delivering production-grade solutions within Tier-1 Banking or similar environments.
- Leadership: Strong track record in running fast-paced delivery teams with a focus on spec-driven development.
- Compliance: Must hold active SC Clearance.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
AI Solution Architect in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI solutions and data platforms. This could be anything from GitHub repos to case studies. We want to see your hands-on experience and how you’ve tackled real-world problems.
✨Tip Number 3
Prepare for those interviews! Research the company and its tech stack, especially around GenAI and MLOps. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to apply directly. Let’s get you that job!
We think you need these skills to ace AI Solution Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of AI Solution Architect. Highlight your experience with GenAI, LLMs, and any relevant projects that showcase your leadership in data engineering.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led teams in delivering AI solutions and how you can bring innovation to our projects.
Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Include details about your experience with cloud engineering, MLOps, and any successful projects that align with the responsibilities outlined in the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Randstad Technologies
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of GenAI and LLMs. Be ready to discuss how these technologies can be applied in real-world scenarios, especially in regulated industries like banking. We recommend preparing examples of past projects where you've successfully implemented AI solutions.
✨Showcase Your Leadership Skills
As a Technical Delivery Manager, you'll need to demonstrate your ability to lead cross-functional teams. Think about specific instances where you've guided teams through complex projects. We suggest using the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Business Side
It's crucial to translate technical jargon into business value. Prepare to explain how your technical decisions have positively impacted stakeholders in previous roles. We advise researching the company’s current projects and thinking about how you can contribute to their goals.
✨Be Ready for Technical Questions
Expect in-depth questions about data architecture, MLOps, and coding standards. We recommend reviewing best practices in these areas and being prepared to discuss how you've enforced them in past roles. Practising coding challenges or system design questions can also be beneficial.