Job Specification

Grade: Manager

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 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