AI Solution Architect - Senior Manager/Associate Director Capital Markets in Edinburgh

AI Solution Architect - Senior Manager/Associate Director Capital Markets in Edinburgh

Edinburgh Full-Time 80000 - 100000 € / year (est.) No home office possible
Datatech Analytics

At a Glance

  • Tasks: Design and implement cutting-edge AI solutions in financial services and capital markets.
  • Company: Join a leading recruitment agency in analytics with a focus on innovation.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams and enjoy excellent career advancement opportunities.
  • Why this job: Shape the future of AI in finance and make a real impact on transformation programmes.
  • Qualifications: Experience in AI architecture, cloud platforms, and enterprise solution design.

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

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 would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating 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 optimised 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 in Edinburgh employer: Datatech Analytics

At Datatech, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Edinburgh. Our commitment to employee growth is evident through tailored development programmes and mentorship opportunities, ensuring that our team members thrive in their careers while working on impactful AI solutions within the capital markets sector. With a hybrid working model and competitive compensation aligned to experience, we provide a supportive environment where your contributions truly matter.

Datatech Analytics

Contact Detail:

Datatech Analytics Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets in Edinburgh

Network Like a Pro

Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.

Show Off Your Skills

Don’t just talk about your experience; showcase it! Create a portfolio of your projects or contributions to AI solutions. This gives potential employers a tangible sense of what you can bring to the table.

Ace the Interview

Prepare for those interviews by practising common questions and scenarios related to AI architecture. Be ready to discuss your thought process and how you tackle challenges. Confidence is key!

Apply Through Us!

We’ve got your back! Apply through our website for the best chance at landing that dream job. Plus, we love seeing candidates who are proactive about their applications!

We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets in Edinburgh

AI Architecture Design
Machine Learning (ML) Architecture
Cloud Platforms (AWS, Azure, GCP)
Data Architecture
Containerisation
GPU Environments
Large Language Models (LLMs)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the AI Solution Architect role. Highlight your experience in designing AI solutions and working with cloud platforms like AWS or Azure. 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 in capital markets and how your background makes you a perfect fit. We love seeing genuine enthusiasm and clear connections to the role.

Showcase Relevant Projects:If you've worked on any projects that involved AI, ML, or data architecture, make sure to mention them! We want to know about your hands-on experience and how you've tackled challenges in previous roles.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!

How to prepare for a job interview at Datatech Analytics

Know Your AI Inside Out

Make sure you brush up on your knowledge of AI and ML architectures, especially in the context of financial services. Be ready to discuss specific projects you've worked on, focusing on how you translated business needs into scalable solutions.

Showcase Your Cloud Expertise

Familiarise yourself with cloud platforms like AWS, Azure, or GCP. Prepare examples of how you've designed and implemented AI solutions in these environments, highlighting any cost optimisation strategies you've employed.

Prepare for Technical Discussions

Expect to dive deep into technical details during the interview. Be ready to explain your approach to integrating AI solutions into existing systems and how you handle governance and security considerations throughout the delivery lifecycle.

Build Relationships with Stakeholders

Demonstrate your ability to collaborate with both technical teams and business stakeholders. Share experiences where you've successfully built relationships and led multidisciplinary teams to achieve project goals, as this is crucial for the role.