At a Glance
- Tasks: Design and implement AI solutions that transform business challenges into practical tools.
- Company: Join Confluence, a global leader in investment data technology.
- Benefits: Enjoy generous time off, career development, and social events.
- Other info: Flexible working options and a culture of integrity and imagination.
- Why this job: Shape the future of AI in a dynamic financial tech environment.
- Qualifications: Experience in AI solutions and strong stakeholder management skills.
The predicted salary is between 72000 - 88000 £ per year.
We are open to candidates located in London, United Kingdom; Pittsburgh, Pennsylvania; Boston, Massachusetts. We will also consider exceptional candidates located elsewhere within the North Eastern United States who are able to travel to one of our offices as required.
At Confluence, we’ve always been driven by a commitment to innovation, precision, and partnership in the investment data space. Our global footprint now spans multiple countries, giving our employees the opportunity to get exposure to other countries and cultures. At Confluence, we are looking for an AI Solutions Architect to help turn AI opportunities into practical, scalable solutions that improve how we work, serve clients and deliver business value. This role sits at the intersection of technology, business transformation and innovation. You will work closely with stakeholders across the organisation to identify opportunities, design solutions and deliver AI enabled tools, agents and automations that solve real business problems.
Success in this role requires someone who is equally comfortable discussing business challenges with senior stakeholders as they are designing and implementing AI solutions. You will help shape our approach to AI, establish practical frameworks and guardrails, and enable colleagues across the business to adopt AI effectively and responsibly.
This is a rare opportunity to help define how AI is used across a global financial technology organisation. You will be joining at a pivotal stage in our AI journey, with the chance to influence strategy, architecture, governance and adoption while delivering solutions that have a direct and measurable impact on the business. You’ll have the freedom to explore emerging technologies, work across a wide variety of use cases and collaborate with leaders across Technology, Product, Operations and Corporate Functions. Rather than focusing on a single product or platform, you'll have the opportunity to shape AI capabilities across the organisation.
Essential Requirements
- Proven experience identifying, designing and implementing AI solutions that have delivered measurable business outcomes, such as efficiency improvements, enhanced client experience, revenue enablement or operational optimisation.
- Experience translating business challenges into practical AI, automation or technology solutions, taking initiatives from concept through to adoption and ongoing improvement.
- Practical experience with AI technologies such as large language models, AI agents, copilots, workflow automation and enterprise AI platforms.
- Ability to work effectively across technical and non-technical stakeholder groups, influencing decisions and building alignment.
- Demonstrated ability to operate in ambiguous environments, bringing structure, prioritisation and practical solutions to emerging opportunities and challenges.
- Strong understanding of AI governance, security, risk and responsible AI principles.
- Experience evaluating opportunities, balancing innovation with business value and ensuring solutions deliver meaningful outcomes.
- Excellent communication, facilitation and stakeholder management skills.
Desirable Requirements
- Experience in Solution Architecture, Engineering, Product Management, Technology Consulting, Business Transformation or a related discipline.
- Experience implementing AI solutions within a regulated, financial services or B2B SaaS environment.
- Familiarity with the Microsoft ecosystem, including Azure AI, Microsoft Copilot, Power Platform or related technologies.
- Experience establishing AI frameworks, standards, governance models or adoption programmes.
- Understanding of APIs, integrations, data platforms and enterprise architecture concepts.
- Experience coaching or enabling teams to adopt new technologies and ways of working.
Within this role, you will help Confluence move beyond experimentation and into practical, scalable AI adoption. You will identify high value opportunities, deliver impactful solutions, enable colleagues to use AI effectively and help establish the foundations that allow AI capabilities to grow responsibly across the business.
Benefits
Confluence offers generous benefit packages for team members. As a growing, global organization, we are always looking for ways to ensure that our employees can access benefits that matter to them and their families. This includes:
- Generous Time Off packages including additional half days with each public holiday in your location.
- Global Career Development opportunities.
- Social Events.
- Referral Bonus scheme - Up to $3,000 per successful referral.
- Plus many more!
We offer flexible working options for all employees. If you are based near any of our offices, this role offers a hybrid working arrangement.
Values
- Integrity: Face reality with honesty, courage and accountability.
- Imagination: Deal creatively with challenges and envision what the world could be.
- Discipline: Build good habits into reflexes which become a part of our life.
- Service: Committed to the success of others.
If you believe that this job posting is noncompliant, please email us at recruitment@confluence.com.
As part of our recruitment process, we carry out identity checks on all candidates. Offers of employment are conditional upon the completion of satisfactory background checks prior to the commencement of work. These checks may include verification of identity, right to work in the UK, employment history, and other relevant pre-employment screening. Please note that additional checks may be required depending on the nature of the role and the jurisdiction in which the role is based or operates. These may include, but are not limited to, criminal record checks or financial background checks where applicable.
As a leading global technology solutions provider to the investment management industry, Confluence helps clients solve complex investment data challenges across the front, middle and back office. Headquartered in Pittsburgh, PA, Confluence services over 1000 clients in 40 countries, with locations across Europe, North America, South Africa, Australia and Asia.
AI Solutions Architect employer: Style Analytics
Confluence is an exceptional employer that fosters a collaborative culture and offers flexible working options, allowing employees to thrive in a hybrid environment from our St Pauls office in London. With a strong commitment to innovation and employee growth, we provide generous benefits, including global career development opportunities and a supportive atmosphere where your contributions can significantly impact our strategic goals. Join us to be part of a dynamic team dedicated to navigating the complexities of regulatory technology while enjoying a work-life balance that matters.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Style Analytics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Style Analytics.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Style Analytics.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Style Analytics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Solutions Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Style Analytics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Style Analytics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Style Analytics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Style Analytics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.