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- Tasks: Lead exciting AI projects in Insurance and Banking, from prototype to operation.
- Company: Join a dynamic team at a leading tech firm with a flat hierarchy.
- Benefits: Enjoy a competitive salary, flexible office, health care, and team-building events.
- Why this job: Shape the future of AI solutions and collaborate with top clients globally.
- Qualifications: 10+ years in software engineering, strong problem-solving, and communication skills required.
- Other info: Opportunity for travel and professional growth in a vibrant work environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Lead Data and AI Architect, you will join our team and work on exciting AI projects for the Insurance and Banking sectors. You will collaborate with leading British and international clients, architect and deliver high-quality AI solutions from prototype to operation. You will be part of a dynamic and innovative work environment of entrepreneurial people, where you can learn, share, and shape the future of our company. We offer a competitive salary package with a variable performance component, 25 days of holiday, training and development opportunities, and a flat hierarchy.
Job Requirements
- Expertise in multiple programming languages and frameworks, along with a deep understanding of the software development lifecycle (SRE, QA, DevSecOps, Agile).
- Deep expertise in leading complex technical and operational client projects in the areas of Data, AI, and Cloud.
- Strong record of delivering projects under tight deadlines and stringent functional and nonâfunctional requirements. Experience in banking, insurance, or retail production environments is a plus.
- Strong problemâsolving abilities, excellent communication skills, and the ability to work collaboratively with crossâfunctional teams.
- 10+ years of professional experience in a leading software engineering role, either as a software architect or team lead.
- Ability to quickly identify and prioritise technological challenges, and provide innovative and relevant solutions, both during client projects and in business development activities.
- Willingness to travel within the UK and internationally to meet clients or collaborate with our centres of excellence.
Job Responsibilities
- Handsâon role: write architecture/design specifications, code, perform code reviews, and be involved in all phases of software engineering.
- Support sales team in preâsales conversations, RFP processes, and demonstrate our capabilities and value proposition in the AI domain.
- Work on proofâofâconcepts and prototypes to showcase the feasibility and impact of AI solutions for specific use cases and verticals.
- Advise clients in technical workshops throughout the entire client lifecycle, from conceptualisation to implementation and maintenance, assisting them in formulating AI architecture, strategy, and development plans.
- Lead engineering projects endâtoâend, ensuring client satisfaction and trust, and fostering longâterm partnerships.
- Coordinate and supervise the delivery of highâquality AI solutions with our centres of excellence, ensuring alignment with client needs and expectations.
Job Benefits
- Flexâoffice
- Competitive healthâcare package
- Sustainable mobility allowance
- Freedom to choose your equipment
- Teamâbuilding events and regular celebrations
Lead Data and AI Architect, UK in London employer: vector8
Contact Detail:
vector8 Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead Data and AI Architect, UK in London
â¨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to Data and AI. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those relevant to banking and insurance. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI architecture. Practice explaining your thought process clearly, as communication is key in collaborative environments like ours.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our dynamic team at StudySmarter.
We think you need these skills to ace Lead Data and AI Architect, UK in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Data and AI Architect role. Highlight your expertise in programming languages, software development lifecycle, and any relevant experience in banking or insurance sectors.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of past projects where you've led teams or delivered complex solutions, and show us your passion for AI and data architecture.
Showcase Your Problem-Solving Skills: In your application, donât just list your skillsâdemonstrate them! Include instances where youâve tackled tough challenges or innovated solutions in previous roles. We love seeing how you think on your feet!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows us youâre keen to join our team!
How to prepare for a job interview at vector8
â¨Know Your Tech Inside Out
Make sure you brush up on your programming languages and frameworks. Be ready to discuss how you've applied them in past projects, especially in the context of Data, AI, and Cloud. This role demands a deep understanding of the software development lifecycle, so be prepared to share specific examples of how you've navigated SRE, QA, DevSecOps, and Agile methodologies.
â¨Showcase Your Problem-Solving Skills
During the interview, highlight your ability to tackle complex technical challenges. Prepare a few scenarios where you identified issues and implemented innovative solutions, particularly in high-pressure environments like banking or insurance. This will demonstrate your capability to deliver under tight deadlines and meet stringent requirements.
â¨Communicate Effectively
Strong communication skills are key for this role, especially when collaborating with cross-functional teams. Practice articulating your thoughts clearly and concisely. You might even want to run through some mock interviews with a friend to refine your delivery and ensure you're conveying your ideas effectively.
â¨Be Ready to Discuss Client Engagement
Since you'll be advising clients throughout their project lifecycle, prepare to talk about your experience in client interactions. Think about how you've supported sales teams, led workshops, or built long-term partnerships. Sharing these experiences will show that you understand the importance of client satisfaction and trust in delivering successful AI solutions.
