AI Solution Architect - Senior Manager/Associate Director Capital Markets. Job in London LilyLi[...]

AI Solution Architect - Senior Manager/Associate Director Capital Markets. Job in London LilyLi[...]

London Full-Time 80000 - 100000 £ / year (est.) No working from home possible
United Cerebral Palsy of Georgia

At a Glance

  • Tasks: Design and implement cutting-edge AI solutions in financial services.
  • Company: Leading firm in capital markets with a focus on innovation.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Join a dynamic team and lead transformative AI projects.
  • Why this job: Shape the future of AI in finance and make a real impact.
  • Qualifications: Strong background in AI, cloud, and data architecture required.

The predicted salary is between 80000 - 100000 £ per year.

Location: London

Working pattern: Hybrid

Salary: Compensation aligned to experience and seniority

Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role requires an experienced professional with a strong background in AI, cloud, and data architecture, designed to translate business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams, and supporting organisations as they move from strategy and experimentation through to enterprise deployment.

You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders, and senior leadership to design, deliver, and scale AI solutions that drive measurable business outcomes.

Key responsibilities:

  • Translating business objectives into AI architecture strategies, roadmaps, and scalable solution designs
  • Designing and implementing end-to-end AI and ML architectures across enterprise environments
  • Defining scalable, performant, and cost-optimized deployment patterns across cloud, containerised, and GPU-enabled environments
  • Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation
  • Evaluating and selecting technologies across open source and commercial platforms
  • Designing and integrating AI solutions into existing enterprise systems and applications
  • Working with AI Engineers, Data Scientists, and technical teams to support AI delivery and scaling initiatives
  • Supporting AI governance, security, risk, and regulatory considerations throughout the delivery lifecycle
  • Supporting architecture governance, technical review boards, and design authorities
  • Building relationships with technical and business stakeholders across large-scale transformation programmes
  • Producing solution design documentation, implementation plans, and technical proposals
  • Providing technical leadership and mentoring within multidisciplinary teams

Experience required:

  • Experience designing AI, ML, or modern data architectures within enterprise environments
  • Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks, or similar technologies
  • Experience architecting scalable AI and ML solutions across serverless, containerised, or GPU-enabled environments
  • Experience with LLMs, prompt engineering, embeddings, semantic search, and RAG patterns
  • Exposure to vector databases and agent frameworks such as LangChain, LangGraph, or similar technologies
  • Understanding of MLOps, LLMOps, and model lifecycle management principles
  • Experience designing APIs and integrating AI solutions into enterprise environments
  • Strong understanding of modern data architectures and platform design principles
  • Experience presenting architectural designs to technical and business stakeholders
  • Financial services experience within capital markets or broader banking environments

This is a strong opportunity for an AI architecture professional who wants to work on high-impact AI and data transformation programmes within complex financial services environments.

AI Solution Architect - Senior Manager/Associate Director Capital Markets. Job in London LilyLi[...] employer: United Cerebral Palsy of Georgia

As a leading employer in the financial services sector, we offer an exceptional work environment that fosters innovation and collaboration. Our hybrid working model allows for flexibility while our commitment to employee growth ensures that you will have access to continuous learning opportunities and mentorship from industry experts. Join us in London, where you will be at the forefront of AI transformation, contributing to impactful projects that shape the future of capital markets.

United Cerebral Palsy of Georgia

Contact Details:

United Cerebral Palsy of Georgia Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets. Job in London LilyLi[...]

Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or conferences related to AI and capital markets. Building relationships can lead to job opportunities that aren’t even advertised.

Show Off Your Skills

Create a portfolio showcasing your AI projects and solutions. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers and set you apart from the crowd.

Ace the Interview

Prepare for technical interviews by brushing up on your AI architecture knowledge and problem-solving skills. Practice common interview questions and scenarios, and don’t forget to highlight your experience with cloud platforms and scalable solutions!

Apply Through Our Website

Don’t forget to check out our website for the latest job openings! Applying directly through us not only shows your interest but also gives you a better chance of getting noticed by our hiring team.

We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets. Job in London LilyLi[...]

AI Architecture Strategy
Cloud Platforms (AWS, Azure, GCP)
Data Architecture
End-to-End AI and ML Architectures
Deployment Patterns (Serverless, Containerised, GPU-enabled)
AI Governance and Security
Technical Leadership

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI, cloud, and data architecture. We want to see how your skills align with the specific requirements of the AI Solution Architect role.

Showcase Your Achievements:Don’t just list your responsibilities; share your successes! Use quantifiable results to demonstrate how you've driven measurable business outcomes in previous roles. This will help us see the impact you can bring to our team.

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to understand your qualifications and experiences.

Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at United Cerebral Palsy of Georgia

Know Your AI Architecture Inside Out

Make sure you’re well-versed in the latest AI and ML architectures. Brush up on your knowledge of cloud platforms like AWS, Azure, and GCP, as well as modern data architectures. Be ready to discuss how you've translated business requirements into scalable solutions in past roles.

Showcase Your Leadership Skills

As a Senior Manager or Associate Director, you'll need to demonstrate your ability to lead technical teams. Prepare examples of how you've guided teams through complex projects, especially in financial services. Highlight your experience in mentoring and building relationships with stakeholders.

Prepare for Technical Questions

Expect in-depth technical questions about AI implementation and architecture design. Review concepts like MLOps, LLMOps, and model lifecycle management. Be ready to explain your approach to evaluating technologies and designing APIs that integrate seamlessly into enterprise environments.

Understand the Business Impact

It's crucial to connect your technical expertise with business outcomes. Prepare to discuss how your AI solutions have driven measurable results in previous roles. Think about specific metrics or success stories that illustrate your impact in capital markets or banking environments.