AI Solution Architect – Senior Manager/Associate Director | Capital Markets in Warrington

AI Solution Architect – Senior Manager/Associate Director | Capital Markets in Warrington

Warrington Full-Time 70000 - 90000 € / year (est.) Home office (partial)
Datatech Analytics

At a Glance

  • Tasks: Design and implement cutting-edge AI solutions in financial services.
  • Company: Join a leading recruitment agency in the analytics field.
  • Benefits: Competitive salary, hybrid working, and referral bonuses.
  • Other info: Great opportunity for career growth in a dynamic environment.
  • Why this job: Shape AI architecture strategy and lead impactful projects.
  • Qualifications: Experience in AI architecture and cloud platforms required.

The predicted salary is between 70000 - 90000 € 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 Warrington employer: Datatech Analytics

Join a forward-thinking company in Manchester that champions innovation and collaboration, offering a hybrid working pattern that promotes work-life balance. As an AI Solution Architect, you'll be part of a dynamic team dedicated to driving impactful AI solutions in the capital markets sector, with ample opportunities for professional growth and development. Our inclusive work culture values diverse perspectives and encourages continuous learning, making it an ideal environment for ambitious professionals seeking meaningful and rewarding careers.

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 Warrington

✨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 role you want. 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 or a personal website where you can display your projects, especially those related to AI and cloud architecture. This gives potential employers a taste of what you can do.

✨Ace the Interview

Prepare for those tricky interview questions by practising your responses. Think about how you can relate your past experiences to the job description. Remember, they want to see how you can translate business needs into technical solutions!

✨Apply Through Us!

We’ve got your back! Make sure to apply through our website for this role. It not only shows your interest but also helps us keep track of your application. Plus, we love seeing candidates who are proactive!

We think you need these skills to ace AI Solution Architect – Senior Manager/Associate Director | Capital Markets in Warrington

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 reflects the skills and experiences that align with the AI Solution Architect role. Highlight your experience in designing AI solutions and working with cloud platforms like AWS or Azure, as this will catch our eye!

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 the perfect fit for our team. Keep it engaging and relevant!

Showcase Your Technical Skills:Don’t shy away from showcasing your technical expertise! Mention specific projects where you've implemented AI architectures or worked with technologies like LLMs or vector databases. We love seeing real-world applications of your skills.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!

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 MLOps, LLMOps, and model lifecycle management, as well as how you’ve integrated AI solutions into existing systems.

✨Build Relationships with Stakeholders

Demonstrate your ability to collaborate with both technical teams and business stakeholders. Share experiences where you've successfully communicated complex architectural designs and gained buy-in from various parties.