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- Tasks: Lead the design and engineering of a cutting-edge AI Control Tower platform.
- Company: Join a leading banking client focused on next-gen AI capabilities.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in AI governance and shape the future of banking technology.
- Qualifications: Strong engineering background with expertise in Python, SQL, and AWS SageMaker.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
Hybrid Working - Edinburgh OR London - 2 days a week on site.
Lorien's leading banking client is looking for an AI Technical Lead to join them to drive the end-to-end build of this platform, shape its architecture, and partner with deep technical SMEs across the business to ensure our AI systems operate with the highest levels of performance, security, and responsible oversight. The client is investing in the next generation of AI capabilities, with safety, resilience, and trust at the core. We're creating a cutting-edge AI Control Tower - a centralised platform and dashboard that monitors, governs, and optimises AI systems across the bank. This is a hands-on, high-impact role at the intersection of AI governance, distributed systems, observability, and platform engineering.
What You'll Do:
- Lead the architecture, design, and engineering of the AI Control Tower platform.
- Build the core framework that enables AI observability, guardrails, performance monitoring, and lifecycle management.
- Shape the technical roadmap in partnership with product leaders, ensuring delivery against ambitious milestones.
- Establish engineering standards, patterns, and integration approaches used across the platform.
- Work closely with product managers to prioritise features, shape the roadmap, and ensure delivery against ambitious timelines.
- Develop scalable, high-throughput data pipelines and monitoring systems to track:
- AI model performance and drift
- Operational resilience and service health
- Security posture and policy adherence
- Guardrail compliance for ML and GenAI
- Aggregated risk indicators and governance metrics
Key Skills and Experience:
- Strong engineering foundations, with experience building scalable distributed systems or data platforms.
- Fluency in Python, SQL, Java, and modern data processing frameworks.
- Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required).
- Proven experience developing monitoring frameworks, observability pipelines, and dashboards.
- Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar).
- Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
- Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems.
Helpful Experience:
- Strong engineering foundations, with experience building scalable distributed systems or data platforms.
- Fluency in Python, SQL, Java, and modern data processing frameworks.
- Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required).
- Proven experience developing monitoring frameworks, observability pipelines, and dashboards.
- Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar).
- Knowledge of security engineering, IAM principles, encryption, and cloud security controls.
- Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems.
AI Technical Lead in City of London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technical Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for those interviews! Research the company and its AI initiatives, especially around governance and observability. We want you to be ready to showcase your expertise and how you can contribute to their cutting-edge projects.
✨Tip Number 3
Showcase your skills through projects! If you’ve built any relevant systems or frameworks, make sure to highlight them. We love seeing practical examples of your work that align with the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are eager to drive innovation in AI.
We think you need these skills to ace AI Technical Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Technical Lead role. Highlight your experience with scalable distributed systems and cloud-based AI/ML ecosystems, especially AWS SageMaker. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI governance and how your background makes you the perfect fit for our team. Don't forget to mention any relevant projects you've worked on that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your fluency in Python, SQL, and Java. Mention any experience you have with monitoring frameworks and observability pipelines, as these are key components of the role. We love seeing concrete examples of your work!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS SageMaker, Python, SQL, and Java. Brush up on your knowledge of event-driven architectures and monitoring frameworks, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
As an AI Technical Lead, you'll need to demonstrate your ability to lead and shape technical roadmaps. Prepare examples from your past experiences where you've successfully led projects or teams, particularly in building scalable systems or data platforms.
✨Understand AI Governance and Compliance
Familiarise yourself with concepts around AI governance, security principles, and regulatory compliance. Be ready to discuss how you would embed secure-by-design principles into the architecture and ensure adherence to policies.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their AI Control Tower platform, the team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
