AI Solution Architect Financial Services in Warrington

AI Solution Architect Financial Services in Warrington

Warrington Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Datatech Analytics

At a Glance

  • Tasks: Design and build innovative AI solutions for major banks and financial institutions.
  • Company: Leading consulting and technology organisation focused on AI transformation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for career advancement.
  • Other info: Opportunities from Manager to Associate Director level available.
  • Why this job: Shape the future of AI in finance and make a real impact.
  • Qualifications: Experience in AI architecture and strong communication skills required.

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

We're partnering with a leading consulting and technology organisation that is investing heavily in AI, helping major banks and financial institutions turn AI ambition into production reality. This is an opportunity to shape enterprise AI strategy, design scalable architectures, and deliver solutions that create measurable commercial impact.

What you'll be doing:

  • Designing enterprise AI and GenAI architectures
  • Building scalable solutions across LLMs, RAG and Agentic AI
  • Defining AI platform, governance and deployment strategies
  • Advising senior stakeholders on AI adoption and transformation
  • Working across engineering, cloud, data and business teams
  • Driving AI from proof of concept to enterprise-scale delivery

Technology:

  • Python, LLMs, RAG, Agentic AI
  • LangChain, LangGraph
  • Vector Search & Semantic Retrieval
  • MLOps & LLMOps
  • AWS, Azure, GCP, Databricks
  • Kubernetes & Cloud-Native Platforms

We're looking for:

  • Experience designing enterprise AI, ML or data platforms
  • Strong cloud and modern data architecture expertise
  • Proven delivery of AI solutions into production environments
  • Experience within Financial Services or other regulated sectors
  • Strong consulting, stakeholder management and communication skills

Opportunities available from Manager through to Associate Director level. If you're curious about where AI is genuinely creating value across Financial Services, or considering your next move in AI architecture, let's have a confidential conversation.

AI Solution Architect Financial Services in Warrington employer: Datatech Analytics

Join a forward-thinking consulting and technology organisation that prioritises innovation and employee development in the heart of London, Manchester, and Scotland. With a strong focus on AI, we offer a collaborative work culture that encourages creativity and professional growth, alongside competitive benefits and the opportunity to work on impactful projects within the financial services sector. Here, you will not only shape the future of AI but also advance your career in a supportive environment that values your contributions.

Datatech Analytics

Contact Details:

Datatech Analytics Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Solution Architect Financial Services in Warrington

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in AI within financial services. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!

Tip Number 2

Showcase your skills! Create a portfolio that highlights your experience with AI architectures and solutions. Include case studies or projects that demonstrate your ability to deliver impactful results. This will make you stand out when chatting with potential employers.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled challenges in previous roles, especially around AI adoption and transformation. Practice makes perfect, so consider mock interviews with friends or mentors.

Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your experience with cloud platforms and enterprise AI solutions, and let us help you land that dream job!

We think you need these skills to ace AI Solution Architect Financial Services in Warrington

AI Architecture Design
GenAI Architectures
LLMs (Large Language Models)
RAG (Retrieval-Augmented Generation)
Agentic AI
AI Platform Governance
Deployment Strategies

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 enterprise AI architectures and working with cloud platforms like AWS or Azure.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in financial services. Share specific examples of how you've driven AI solutions from concept to production, and how you can add value to our team.

Showcase Your Technical Skills:Don’t forget to mention your technical expertise! Whether it’s Python, LLMs, or MLOps, make sure we see how your skills fit into the technologies we use at StudySmarter.

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 you’re excited about!

How to prepare for a job interview at Datatech Analytics

Know Your AI Stuff

Make sure you brush up on the latest trends in AI, especially around LLMs, RAG, and Agentic AI. Be ready to discuss how you've designed enterprise AI architectures in the past and how they can be applied in financial services.

Showcase Your Cloud Expertise

Since cloud architecture is key for this role, highlight your experience with AWS, Azure, or GCP. Prepare examples of how you've built scalable solutions and managed deployments in cloud environments.

Communicate Like a Pro

Strong communication skills are essential, especially when advising senior stakeholders. Practice explaining complex AI concepts in simple terms, and be ready to discuss how you've successfully managed stakeholder expectations in previous roles.

Prepare for Scenario Questions

Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in AI projects and how you overcame them, particularly in regulated sectors like financial services.