At a Glance
- Tasks: Lead the design and implementation of innovative AI and data solutions for enterprise clients.
- Company: Join a forward-thinking consulting practice focused on AI and Data.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by architecting cutting-edge solutions that drive business value.
- Qualifications: STEM degree and advanced certifications in AI and data architecture required.
The predicted salary is between 70000 - 90000 £ per year.
Job Overview
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 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.
Responsibilities
- Design and architect end‑to‑end AI and data solutions on Azure, AWS or Google GCS leveraging modern data and AI platforms such as Snowflake and Databricks.
- Develop comprehensive architecture blueprints, including data pipeline, analytics, and AI/ML capabilities.
- Define data and AI 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.
- Mentor junior architects and technical teams on best practices and emerging technologies.
Qualifications
- STEM degree or equivalent certification in Computer Science, Data Science, Engineering, or related field.
- One or more advanced level AI and data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP.
- Proven track record of architecting enterprise‑scale data, analytics or ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences.
- Ability to lead design for end‑to‑end AI and data solutions across multiple cloud platforms.
- Ability to define governance frameworks, security protocols, and compliance standards.
- Operations as a trusted advisor to IT and senior stakeholders.
- Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS, Google GCP.
- Hands‑on experience with Microsoft Fabric, Snowflake and/or Databricks.
- TOGAF experience.
- Soft skills: continuous learning mindset, exceptional communication and presentation skills, strong analytical and problem‑solving capabilities, ability to manage multiple client engagements simultaneously, collaborative mindset, coaching mindset.
- Preferred Qualifications
- Understanding of AI architecture front‑end, UI/UX, and how AI is consumed.
- Experience preparing technical solutions and architectures as part of bid responses and proposals.
- Experience identifying efficiency opportunities such as solution accelerators, reusable frameworks, IP development, agentic automation.
- Deep understanding of industry‑specific data challenges in life sciences, health, consumer products, retail or energy industry.
- Experience with domain‑specific use cases such as commercial, supply chain, finance, or operations.
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We think this is how you could land Senior Manager, AI & Data Solution Architect, UKI in London
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We think you need these skills to ace Senior Manager, AI & Data Solution Architect, UKI in London
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