At a Glance
- Tasks: Design and implement cutting-edge AI solutions in financial services and capital markets.
- Company: Join a leading recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid working, 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 architecture and make a real impact in finance.
- Qualifications: Strong background in AI, cloud, and data architecture required.
The predicted salary is between 80000 - 100000 € per year.
Location: Manchester
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Ref: J13119
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 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.
For more information make an application today!
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Locations
AI Solution Architect - Senior Manager/Associate Director Capital Markets in Cheshire, Warrington 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 Manchester. Our hybrid working model provides flexibility, while our commitment to employee growth through mentorship and professional development ensures that you can thrive in your career as an AI Solution Architect. Join us to be part of transformative projects in capital markets, where your contributions will drive meaningful change in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets in Cheshire, 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; demonstrate it! Create a portfolio showcasing your AI projects or solutions you've implemented. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your past experiences align with the job description and be ready to discuss specific examples of your work in AI architecture.
✨Apply Through Our Website
Make sure to apply through our website for the best chance at landing that dream job! We’re always on the lookout for talented individuals like you, so don’t hesitate to submit your application today.
We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets in Cheshire, Warrington
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 architecture or data solutions, make sure to mention them. We’re keen to see real-world examples of your work and how you’ve tackled challenges in enterprise environments.
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 shows you’re serious about joining our team at StudySmarter!
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.
✨Cloud Platforms Are Key
Familiarise yourself with cloud platforms like AWS, Azure, or GCP. Prepare to explain how you've used these technologies in past roles, particularly in designing and implementing AI solutions. Highlight any experience with containerised environments or GPU setups.
✨Showcase Your Leadership Skills
As a Senior Manager or Associate Director, you'll need to demonstrate your ability to lead technical teams. Think of examples where you've mentored others or led projects, and be ready to discuss how you build relationships with both technical and business stakeholders.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on topics like MLOps, LLMOps, and model lifecycle management. Be prepared to present architectural designs and discuss how you ensure governance and security in AI implementations.
