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About the Role
We are seeking an experienced
AI & 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.
· 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
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