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: Remote work, competitive salary, and access to cutting-edge technology.
- Other info: Work on ambitious projects with significant investment in AI capabilities.
- Why this job: Shape the future of AI while making a real impact on businesses.
- Qualifications: Experience in AI solutions, cloud platforms, and a passion for technology.
The predicted salary is between 80000 - 100000 £ per year.
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.
ServiceNow Solution Architect (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 provides flexibility while allowing you to engage with top-tier financial institutions, driving impactful AI solutions. With significant investment in employee development and cutting-edge technology, we empower our team to grow their expertise and influence the future of enterprise AI.
StudySmarter Expert Advice🤫
We think this is how you could land ServiceNow Solution Architect (remote) in London
✨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 ServiceNow Solution Architect (remote) in London
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.
