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- Tasks: Lead the design and implementation of AI solutions that enhance customer experiences.
- Company: Join a forward-thinking company shaping the future of AI-powered digital experiences.
- Benefits: Enjoy a hybrid work model, competitive salary, and a 20% bonus.
- Why this job: Be part of a high-impact team influencing AI-driven customer experiences with innovative technology.
- Qualifications: Seeking a hands-on technical leader with strong architectural experience in AI/ML.
- Other info: Ideal for those with a background in financial services or complex regulated environments.
The predicted salary is between 56400 - 84000 £ per year.
Lead Solution Architect – AI/ML
Location: Knutsford (Hybrid, 2 days per week in office)
Salary: Up to £94,000 (depending on experience) + 20% Bonus
Are you ready to shape the future of AI-powered digital experiences? We’re seeking a forward-thinking Lead AI/ML Architect with deep technical expertise and a hands-on approach to help drive our Conversational Assistant & AI strategy.
This is a highly impactful role where you will design and implement scalable, cloud-native AI solutions, while collaborating closely with cross-functional teams to deliver innovative, customer-centric products.
Key Responsibilities:
- Design, develop, and evolve AI-powered solutions that meet complex business requirements and enhance customer experiences.
- Architect secure, resilient, and scalable products using modern engineering practices and technologies (e.g. serverless, containerisation, elasticity).
- Partner with engineers, data scientists, and business stakeholders to translate business needs into effective technical solutions.
- Lead performance tuning, troubleshooting, and support activities for production systems.
- Ensure solutions align with enterprise architecture, governance, security, privacy, and regulatory standards.
- Evaluate new AI technologies and contribute to the development and standardisation of architectural patterns and tooling.
- Maintain awareness of emerging AI trends and integrate them into future-facing design strategies.
What We’re Looking For:
- A hands-on technical leader — ideally a Senior or Lead AI Engineer with strong architectural experience.
- Demonstrated experience designing and delivering complex, scalable systems in enterprise environments.
- Deep understanding of cloud technologies (preferably AWS), AI/ML frameworks, and modern CI/CD pipelines.
- Strong stakeholder management and communication skills, with the ability to operate across both technical and business domains.
- Experience applying architectural principles that balance innovation, security, operational risk, and cost.
- Familiarity with security-first solution design, including defence in depth and blast radius minimisation.
Desired Experience:
- Previous experience in financial services or similarly complex, regulated environments.
- Background in technical leadership across large-scale AI, payments, or cloud-native projects.
- Proven ability to guide cross-functional teams and influence enterprise technology strategy.
- Understanding of software delivery methodologies, product engineering, and operational support structures.
Apply now to join a high-impact team where your vision and expertise will directly influence the future of AI-driven customer experiences.
AI Lead Architect employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead Architect
✨Tip Number 1
Network with professionals in the AI and ML fields. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your hands-on experience with cloud technologies, especially AWS. Consider working on personal projects or contributing to open-source initiatives that demonstrate your ability to design scalable AI solutions. This practical experience can set you apart from other candidates.
✨Tip Number 3
Familiarise yourself with the specific challenges and regulations within the financial services sector. Understanding these nuances can help you tailor your discussions during interviews, showing that you’re not just technically proficient but also aware of the industry landscape.
✨Tip Number 4
Prepare to discuss your approach to stakeholder management and communication. Be ready to share examples of how you've successfully collaborated with cross-functional teams in the past, as this is crucial for a role like the Lead AI Architect at StudySmarter.
We think you need these skills to ace AI Lead Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML architecture and cloud technologies. Emphasise your hands-on technical leadership and any projects that demonstrate your ability to design scalable systems.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the company's vision. Mention specific experiences that showcase your ability to lead cross-functional teams and deliver innovative solutions.
Showcase Technical Expertise: Include specific examples of technologies you've worked with, such as AWS, AI/ML frameworks, and CI/CD pipelines. Highlight any architectural principles you've applied that balance innovation with security and operational risk.
Prepare for Potential Questions: Anticipate questions related to your experience in financial services or regulated environments. Be ready to discuss how you've guided teams and influenced technology strategy in previous roles.
How to prepare for a job interview at Anson McCade
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with AI/ML frameworks and cloud technologies, particularly AWS. Highlight specific projects where you've designed scalable systems and how you approached complex business requirements.
✨Demonstrate Stakeholder Management Skills
Since this role involves collaboration with engineers, data scientists, and business stakeholders, be ready to share examples of how you've successfully communicated technical concepts to non-technical audiences and influenced decision-making.
✨Discuss Architectural Principles
Familiarise yourself with architectural principles that balance innovation with security and cost. Be prepared to explain how you've applied these principles in past projects, especially in regulated environments like financial services.
✨Stay Updated on AI Trends
Research the latest trends in AI and ML technologies. During the interview, mention any emerging technologies you're excited about and how you envision integrating them into future designs, showcasing your forward-thinking approach.
