At a Glance
- Tasks: Design and implement scalable AI solutions for major financial institutions.
- Company: Join a leading consulting and technology powerhouse focused on enterprise AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential to influence major industry players.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Experience in AI/ML, cloud architectures, and stakeholder management.
The predicted salary is between 80000 - 100000 £ per year.
Locations: London, Manchester & Scotland (Hybrid)
Levels: Manager through to Associate Director level
Moving past the AI hype cycle means turning ambition into production reality. We are partnering with a premier consulting and technology powerhouse that is heavily investing in the future of enterprise AI for the Financial Services sector.
If you are a builder and a strategist who knows how to move GenAI from a cool PoC to a hardened, enterprise-scale deployment, this is your next move.
What you’ll be doing:
- Architecting the Future: Designing scalable enterprise AI, GenAI, and Agentic AI frameworks.
- Platform & Governance: Defining LLM/RAG strategies, guardrails, and deployment pipelines.
- Stakeholder Influence: Translating complex AI capabilities into measurable commercial value for major banks and financial institutions.
The Tech Stack: Python | LLMs | RAG | Agentic AI (LangChain, LangGraph) Vector Search & Semantic Retrieval MLOps & LLMOps AWS, Azure, GCP, Databricks, Kubernetes
What we’re looking for:
- A proven track record of shipping AI/ML or complex data platforms into production.
- Deep expertise in cloud-native and modern data architectures.
- Experience navigating Financial Services or similarly regulated, high-stakes environments.
- Top-tier consulting and stakeholder management skills.
Ready to shape the AI roadmap for some of the world's largest financial institutions? Let’s have a confidential conversation.
AI Solution Architects & Technical AI Leaders employer: Datatech Analytics
Join a leading consulting and technology powerhouse that is at the forefront of enterprise AI innovation in the Financial Services sector. With a hybrid work model across London, Manchester, and Scotland, we foster a collaborative and inclusive culture that prioritises employee growth through continuous learning and development opportunities. Our commitment to pushing the boundaries of AI technology not only empowers our teams but also ensures that you play a pivotal role in shaping the future of financial solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architects & Technical AI Leaders
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Datatech Analytics. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace AI Solution Architects & Technical AI Leaders
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Datatech Analytics.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Datatech Analytics's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Datatech Analytics.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Datatech Analytics will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Datatech Analytics employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
