Grade: Manager
About the Role
We are seeking an experiencedAI & Data Solution Architectto 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 or Google GCS, leveraging modern data and AI platforms such as Snowflake and Databricks
- Develop comprehensive architecture blueprints including data pipeline, storage, 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 in a specific area 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
- Contribute to architecture review boards and input to technical governance throughout project lifecycles
- Deliver the implementation of data lakes, data warehouses, and lakehouse architectures
- Ensure solutions are optimised for performance, cost-efficiency, and scalability
- Define integration patterns between cloud platforms, third-party applications, and legacy systems
- Understanding of building and integrating Agentic AI solutions into existing cloud platforms
- Mentor junior architects and technical teams on best practices and emerging technologies
Essential Qualifications
- STEM degree or an equivalent certification in Computer Science, Data Science, Engineering, or related field
- One or more AI and Data architecture certifications in Snowflake, Databricks, Microsoft Azure, AWS or GCP
Essential Criteria
- Proven track record of architecting enterprise-scale data, analytics or ML solutions for organisations in at least one of the following sectors: consumer products, retail, health, energy or life sciences
- Able to contribute to the design of end to end AI and data solutions across multiple cloud platforms
- Contribute to governance frameworks, security protocols and compliance standards
- 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 to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies
- Strong communication and presentation skills with ability to influence senior stakeholders
- Strong analytical and problem-solving capabilities
- Ability to manage or lead client engagements
- Collaborative mindset with experience working in cross-functional teams
- Coaching mindset to support the development of junior team members
Preferred Criteria
- Understanding of AI Architecture front end, UI/UX, and how AI is consumed
- Experience of contributing to technical solutions and architectures as part of bid responses and proposals
- Experience of identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation
- Experience or 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