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, cloud, and data architecture with enterprise experience.
The predicted salary is between 80000 - 100000 € per year.
Location: Edinburgh
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Ref: J13118
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.
AI Solution Architect - Senior Manager/Associate Director Capital Markets in Dunfermline 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 contributing to impactful AI solutions in the capital markets sector. With a hybrid working model and competitive compensation aligned to experience, we provide a supportive environment where your expertise can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect - Senior Manager/Associate Director Capital Markets in Dunfermline
✨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.
We think you need these skills to ace AI Solution Architect - Senior Manager/Associate Director Capital Markets in Dunfermline
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your background in AI, cloud, and data architecture, and don’t forget to mention any relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the role. Talk about your experience with AI solutions in financial services and how you can contribute to our team.
Showcase Your Technical Skills:Since this role involves a lot of technical work, make sure to include specific technologies and methodologies you’ve used. Mention your experience with cloud platforms, MLOps, and any relevant tools like Databricks or LangChain.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!
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. Practise articulating complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Build Relationships with Stakeholders
Demonstrate your ability to collaborate with various teams, from AI Engineers to business leaders. Share examples of how you've built relationships in past roles and how that has contributed to successful project outcomes.
