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: Hands-on leadership role with excellent growth opportunities.
- Why this job: Make a real impact in AI while driving cutting-edge projects.
- 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.
Solution Architect (AI/ML) in London employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solution Architect (AI/ML) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the hunt for a Solution Architect role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to AI and data platforms. This gives potential employers a taste of what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've led teams in delivering complex AI solutions and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Solution Architect (AI/ML) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Solution Architect (AI/ML). Highlight your experience with AI, ML, and data platforms. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past successes in leading data engineering teams and delivering innovative solutions.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention your experience with cloud engineering, MLOps, and any relevant tools or technologies. We love seeing candidates who are hands-on and up-to-date with the latest trends.
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 important updates!
How to prepare for a job interview at Randstad Technologies
✨Know Your Tech Inside Out
Make sure you have a solid grasp of AI, ML, and data architecture concepts. Brush up on GenAI and LLMs, as these are crucial for the role. Be ready to discuss how you've applied these technologies in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience leading cross-functional teams. Talk about how you've managed delivery in fast-paced environments and how you ensure engineering excellence through best practices.
✨Understand Stakeholder Needs
Be ready to explain how you translate complex business requirements into actionable tasks for engineering teams. Think of specific instances where you've successfully managed stakeholder expectations and delivered results.
✨Stay Current with Innovations
Familiarise yourself with the latest trends in GenAI and LLM technologies. Be prepared to discuss any recent innovations you've evaluated or implemented, and how they can drive value in a data platform context.