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Manager, AI & Data Solution Architect, TC UKI

EY

Manchester

On-site

GBP 80,000 - 110,000

Full time

Yesterday
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Job summary

A global consulting firm in Manchester seeks an experienced AI & Data Solution Architect to lead the design and implementation of advanced data and AI solutions. This role involves creating scalable architecture, engaging with enterprise clients, and guiding junior architects. The ideal candidate has deep expertise in cloud platforms and significant experience in developing enterprise-scale data solutions. Competitive salary and a dynamic work environment await the right applicant.

Benefits

Continuous learning opportunities
Collaborative work environment
Mentorship programs

Qualifications

  • One or more Advanced level AI and Data architecture certifications.
  • Proven track record of architecting enterprise-scale solutions.
  • Deep expertise in at least one major cloud platform.

Responsibilities

  • Design end-to-end AI and data solutions on cloud platforms.
  • Develop architecture blueprints including AI/ML capabilities.
  • Lead technical discovery sessions to translate business challenges.

Skills

Advanced level AI and Data architecture certifications
Architecting enterprise-scale data solutions
Deep expertise in Azure, AWS, or GCP
Hands-on experience with Azure, Snowflake, Databricks
Exceptional presentation skills
Analytical capabilities
Job description

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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, 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
  • 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 Criteria
  • One or more Advanced level AI and Data architecture certifications in Snowflake, Microsoft Azure, AWS or Databricks.
  • Proven track record of architecting enterprise-scale data and ML solutions for organizations in at least one of the following sectors: consumer products, retail, health, energy or life sciences
  • Deep expertise in at least one of the following data and AI services: Microsoft Azure, AWS , Google GCP
  • Hands on experience with Microsoft Azure, Snowflake and/or Databricks
Soft Skills
  • Continuous learning mindset to stay current with emerging trends in AI, machine learning, data engineering, and cloud technologies
  • Exceptional communication and presentation skills with ability to influence senior stakeholders
  • Strong analytical and problem-solving capabilities
  • Ability to manage multiple client engagements simultaneously
  • Collaborative mindset with experience working in cross-functional teams
  • Coaching mindset to support the development of junior team members
Desired criteria
  • 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 with identifying efficiency opportunities such as solution accelerators, reusable frameworks, and IP development, Agentic automation
  • Deep understanding of industry-specific data challenges in Lifesciences, Health, Consumer Products, Retail or Energy industry
  • Experience with domain-specific use cases such as commercial
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