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For Companies At a Glance
- Tasks: Design and implement AI-driven data platforms for investment banking applications.
- Company: Leading tech firm in the heart of Central London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 15+ years in tech, with strong architecture and AI integration skills.
- Other info: Exciting projects with excellent career advancement potential.
The predicted salary is between 55000 - 85000 £ per year.
Our client is looking for an experienced Technical Architect with a strong background in Artificial Intelligence (AI) and data architecture in an investment banking environment. The ideal candidate will have deep expertise in designing and implementing scalable, high‑performance data platforms using modern tech including MongoDB, Redis, Elasticsearch and others. This role requires a strategic thinker with hands‑on technical skills and a proven track record of delivering enterprise‑grade solutions.
Key Responsibilities
- Architect AI‑driven data platforms supporting investment banking applications and regulatory reporting.
- Design and implement strategies for fast, reliable data storage and retrieval using MongoDB, Redis, Elasticsearch, and other modern technologies.
- Collaborate with data scientists, engineering teams, and business stakeholders to deliver scalable, compliant solutions.
- Ensure data integrity, security, and governance across all layers of the architecture.
- Lead innovation in AI integration, including model deployment, Real Time analytics, and inference optimisation.
- Establish best practices for caching, indexing, and query optimisation.
- Provide technical leadership and mentorship to engineering teams.
- Partner with cloud and infrastructure teams for optimal deployment and cost efficiency.
Required Skills and Experience
- 15+ years in technology organisations with a strong focus on architecture and enterprise solutions.
- 5+ years as a Technical Architect with hands‑on experience in:
- MongoDB - schema design & performance tuning.
- Redis - caching & high‑speed data access.
- Elasticsearch - search & indexing strategies.
AI Technical Architect employer: Akkodis
Contact Detail:
Akkodis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technical Architect
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those in investment banking. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI and data architecture. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both tech teams and business stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Technical Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Technical Architect role. Highlight your experience with MongoDB, Redis, and Elasticsearch, and don’t forget to showcase your hands-on technical skills and strategic thinking.
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. Mention specific projects where you've delivered enterprise-grade solutions and how your expertise aligns with the job requirements.
Showcase Your Achievements: When detailing your experience, focus on your achievements rather than just responsibilities. Use metrics to demonstrate your impact, like improved data retrieval times or successful AI integrations in previous roles.
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 details and get you one step closer to joining our team!
How to prepare for a job interview at Akkodis
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like MongoDB, Redis, and Elasticsearch. Brush up on your schema design, performance tuning, and caching strategies. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Strategic Thinking
Prepare examples of how you've architected AI-driven data platforms in the past. Think about specific challenges you faced and how you overcame them. This will demonstrate your ability to think strategically and deliver enterprise-grade solutions.
✨Collaboration is Key
Be ready to talk about your experience working with data scientists, engineering teams, and business stakeholders. Highlight instances where you’ve successfully collaborated to deliver scalable solutions. This shows you can work well in a team-oriented environment.
✨Emphasise Data Governance and Security
Given the importance of data integrity and compliance in investment banking, be prepared to discuss your knowledge of data governance and security practices. Share any relevant experiences that showcase your understanding of regulatory compliance and how you’ve implemented best practices in previous roles.
