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 in finance and make a real impact on transformation programmes.
- Qualifications: Strong background in AI architecture and experience in enterprise environments required.
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 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 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 London. 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.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets
✨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. Use the STAR method (Situation, Task, Action, Result) to structure your answers. And remember, it’s not just about what you say, but how you say it!
✨Apply Through Our Website
We’ve got some fantastic opportunities waiting for you on our website. Don’t miss out—apply directly through us to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in AI, cloud, and data architecture to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI solutions in capital markets. Share specific examples of how you've translated business requirements into scalable architectures, as this will resonate with our needs.
Showcase Your Technical Skills:Don’t shy away from detailing your experience with cloud platforms and AI technologies. We want to see your expertise in action, so include any relevant projects or achievements that demonstrate your capabilities.
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 don’t miss out on any important updates regarding your application status.
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. Be prepared to explain how you've designed and implemented AI solutions in these environments, and highlight any experience with containerisation or GPU-enabled setups.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about architecture strategies and deployment patterns. Practise explaining complex concepts like LLMs, prompt engineering, and MLOps in a way that’s clear and engaging for both technical and non-technical stakeholders.
✨Build Relationships During the Interview
Remember, this role involves collaboration with various teams. Use the interview to demonstrate your ability to build relationships with both technical and business stakeholders. Share examples of how you've successfully led teams or influenced decision-making in past roles.
