At a Glance
- Tasks: Architect and deliver enterprise AI solutions for leading financial institutions.
- Company: Join a top consulting firm driving AI transformation in Financial Services.
- Benefits: Competitive salary, remote work options, and access to cutting-edge technology.
- Other info: Dynamic role with significant investment in your professional growth.
- Why this job: Shape AI strategy and make a real impact on ambitious projects.
- Qualifications: Experience in AI solutions, cloud platforms, and a passion for technology.
The predicted salary is between 80000 - 100000 £ per year.
AI Solution Architects & Technical AI Leaders
Locations: London, Manchester & Scotland (Hybrid)
Enterprise AI is moving beyond experimentation into large-scale production. We're partnering with one of the UK's leading consulting and technology firms as it continues to invest heavily in AI transformation across Financial Services.
We're looking for experienced AI Solution Architects and Technical AI Leaders who can bridge strategy and engineering—taking GenAI solutions from concept to secure, scalable production. You'll work with some of the world's largest banks and financial institutions, helping them design and deliver enterprise-grade AI platforms that create measurable business value.
- Architect enterprise AI, GenAI and Agentic AI solutions at scale.
- Define AI governance, guardrails, model lifecycle management and deployment standards.
- Lead cloud-native AI platform design across AWS, Azure and GCP.
- Guide engineering teams through the delivery of enterprise AI programmes from strategy through implementation.
Required skills:
- Python
- Large Language Models (LLMs)
- Agentic AI (LangChain, LangGraph, AutoGen, CrewAI)
- Vector Databases & Semantic Search
- AWS | Azure | Google Cloud Platform (GCP)
Proven experience delivering AI, ML or modern data platforms into production. Experience designing enterprise AI solutions using LLMs, RAG and modern AI frameworks. Financial Services or other highly regulated industry experience. A passion for shaping AI strategy while remaining hands-on with technology.
Work on some of the UK's most ambitious enterprise AI programmes. Influence AI strategy for leading financial institutions. Access significant investment in AI, cloud and data capabilities.
If you're passionate about building enterprise AI that delivers real business impact—not just proof of concepts—we'd love to speak with you.
Solutions Architect - Data - Remote in London employer: Datatech Analytics
As a leading consulting and technology firm, we offer an exceptional work environment that fosters innovation and collaboration in the rapidly evolving field of AI. Our hybrid work model across London, Manchester, and Scotland allows for flexibility while providing access to significant investment in cutting-edge AI technologies. We prioritise employee growth through hands-on experience with major financial institutions, ensuring that our team members not only shape AI strategy but also see their ideas come to life in impactful ways.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect - Data - Remote in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Solutions Architect - Data - Remote at Datatech Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Solutions Architect - Data - Remote at Datatech Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Solutions Architect - Data - Remote in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Datatech Analytics, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Datatech Analytics. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Datatech Analytics
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Datatech Analytics!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
