At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join a leading consulting practice focused on cutting-edge technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to mentor and shape future tech leaders.
- Why this job: Make a real impact by architecting scalable solutions that drive business value.
- Qualifications: 10+ years in data and analytics with strong leadership and technical skills.
The predicted salary is between 80000 - 100000 £ per year.
About the Role
We are seeking an experienced AI & Data Solution Architect to join our AI and Data consulting practice and lead the design and implementation of cutting‑edge data and AI solutions for our enterprise clients. This role requires a strategic thinker who can bridge business requirements with technical execution, delivering scalable, cloud‑native architectures that drive measurable business value.
Impact you deliver for our clients:
- Design and architect end‑to‑end AI and data solutions on Azure or AWS, leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints including data ingestion, processing, storage, analytics, and AI/ML capabilities.
- Define data governance frameworks, security protocols, and compliance standards aligned with industry regulations.
- Lead technical discovery sessions with clients to understand business challenges and translate them into architectural requirements.
- Serve as the trusted technical advisor to senior IT and/or business stakeholders across consumer products, retail, health, life sciences or energy industries.
- Present complex technical concepts and solution roadmaps to both technical and non‑technical audiences.
- Lead architecture review boards and provide technical governance throughout project lifecycles.
- Oversee the implementation of data lakes, data warehouses, and lakehouse architectures.
- Ensure solutions are optimized for performance, cost‑efficiency, and scalability.
- Define integration patterns between cloud platforms, third‑party applications, and legacy systems.
- Actively contribute to practice development as a technical thought leader in AI and Data topics.
Required Qualifications Experience:
- 10 – 12 years of experience in data and analytics, with at least 4 years in solution architecture roles.
- Strong team leadership skills with ability to inspire and coach a team of solution architects.
- Proven track record of architecting enterprise‑scale data solutions for organizations in consumer products, retail, health, energy or life sciences industries.
- Deep expertise in Microsoft Azure data and AI services or AWS Data and AI Services.
- Strong hands‑on experience with Snowflake and/or Databricks platforms.
- Experience leading large‑scale digital transformation or data modernisation migration programs with experience in cloud‑native data architectures including data lakes, data warehouses, and lakehouse patterns.
- Strong understanding of AI/ML frameworks, MLOps practices, and model governance including familiarity with DevOps/DataOps practices and CI/CD pipelines.
- Mentor junior architects and technical teams on best practices and emerging technologies.
- Stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies and identify opportunities for solution accelerators, reusable frameworks, and IP development.
- Prepare technical solutions and architectures as part of bid responses and proposals.
Preferred Qualifications:
- Deep understanding of industry‑specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry.
- Experience with domain‑specific use cases such as commercial, supply chain, finance or operations.
- Advanced level AI and Data architecture certification in Snowflake, Microsoft Azure, AWS or Databricks.
Soft Skills:
- Exceptional communication and presentation skills with ability to influence senior stakeholders.
- Strong analytical and problem‑solving capabilities.
- Ability to manage multiple client engagements simultaneously.
- Collaborative mindset with experience working in cross‑functional teams.
- Client‑facing consulting experience with Big 4 or similar professional services firms preferred.
Location: London or Manchester
Senior AI & Data Solution Architect employer: 慨正橡扯
Join a forward-thinking company that values innovation and collaboration, where as a Senior AI & Data Solution Architect, you will have the opportunity to lead transformative projects in a dynamic work environment. With a strong emphasis on employee growth, we offer comprehensive training programs and mentorship opportunities, ensuring you stay at the forefront of AI and data technologies. Our London and Manchester offices foster a vibrant culture that encourages creativity and teamwork, making it an ideal place for professionals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI & Data Solution Architect
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and data. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and achievements in AI and data solutions. Whether it's a GitHub repository or a personal website, having tangible evidence of your expertise can really set you apart from the competition.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios specific to solution architecture. Be ready to discuss your experience with Azure, AWS, Snowflake, and Databricks, and how you've tackled challenges in past projects.
✨Apply Through Us!
Don't forget to check out our website for openings that match your skills. Applying directly through us not only shows your interest but also gives you a better chance of landing that interview!
We think you need these skills to ace Senior AI & Data Solution Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior AI & Data Solution Architect role. Highlight your experience with Azure, AWS, Snowflake, and Databricks, as well as any leadership roles you've held.
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 how you've designed and implemented data solutions in the past, and how you can bring value to our clients.
Showcase Your Technical Skills:In your application, don't shy away from showcasing your technical expertise. Mention any relevant certifications and your hands-on experience with cloud-native architectures, AI/ML frameworks, and data governance.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure, AWS, Snowflake, and Databricks. Brush up on your knowledge of data lakes, warehouses, and AI/ML frameworks so you can confidently discuss how you've used them in past projects.
✨Prepare Real-World Examples
Think of concrete examples from your experience that showcase your ability to design and implement data solutions. Be ready to explain how you’ve tackled challenges in previous roles, especially in industries like health or retail, and how your solutions delivered measurable business value.
✨Practice Your Presentation Skills
Since you'll need to present complex concepts to both technical and non-technical audiences, practice explaining your ideas clearly and concisely. Use visuals if possible, and be prepared to answer questions that might arise during your presentation.
✨Show Your Leadership Qualities
Highlight your experience in leading teams and mentoring junior architects. Be ready to discuss how you inspire and coach others, as well as how you manage multiple client engagements. This will demonstrate your fit for a senior role and your ability to influence stakeholders.
