i2, a Harris Computer company, are seeking an experienced AI Solutions Architect on a full-time, permanent, remote-working basis, in the UK. The AI Solutions Architect will be responsible for translating business needs into innovative AI solutions by deeply understanding industry trends, defining actionable problems, and architecting robust multi-model AI applications. This role requires a strong technical foundation in machine learning, deep learning, and data engineering, alongside architectural design skills to guide the selection and implementation of appropriate technologies like TensorFlow and PyTorch. You'll collaborate closely with development teams to build and deploy POCs, proactively assess risks such as data bias, and ensure the solution delivers tangible business value through effective monitoring, logging, and a deep understanding of business processes. This permanent position will be performed on a remote basis with a requirement to visit the i2 Office in Cambridge, UK as and when there is a business need to do so (circa 2 days per month). What you will do In performing this position, your core duties and responsibilities will include (but will not be limited to): Understanding Business Needs & Defining the Problem:

• Stakeholder Engagement: Understand evolving customer and industry requirements and position opportunities for AI solutions. This involves talking to industry leaders, customers, product managers, and end-users
• Problem Framing: Be able to spot emerging industry trends and translate these into clearly defined actionable AI solutions
• Thought Leadership: Have a strong understanding of emerging AI trends and the ability to articulate a clear vision for how our organization can leverage AI to achieve strategic business objectives, contributing to the company's overall thought leadership in the field
Designing the AI Solutions:
• Technology Selection: Based on the problem definition, research and recommend the appropriate AI technologies - this could include:
• Machine Learning Models: (e.g., Regression, Classification, Clustering)
• Deep Learning Frameworks: (TensorFlow, PyTorch)
• AI Models: Identifying and assessing the different AI models
• Architecture Design: create a high-level architectural blueprint for the AI solution, outlining the components, data flow, and integration points. This includes:
• Model Training Infrastructure: How the model will be trained such as: GPU clusters, cloud-based training services
• Deployment Strategy: How the model will be deployed including containerization, serverless functions
• Monitoring & Logging: Setting up systems to track model performance, identify issues and provide explainability
Collaboration & Execution:
• Working with Development Teams: Collaborate closely with data scientists, machine learning engineers, and software developers to ensure the solution is built according to the design
• Proof of Concept (POC) Development: Lead the development of a small-scale POC to validate the feasibility of the solutions, analytics and User Experience
• Risk Assessment: Identifying and mitigating potential risks related to the AI solution such as data bias, model drift
  
  Machine Learning Fundamentals, AI Agent Frameworks, Deep Learning, Data Engineering, DevOps Principles
• Architectural Design Skills: Demonstrate experience designing and deploying complex multi model AI applications.
• Communication & Collaboration: Crucial for working with diverse teams.
• Problem-Solving: Analytical and creative problem-solving skills.
• Business Acumen: Understanding of business processes and how AI can drive value.
  
  Harris offers an extremely competitive UK employee benefits programme. 5 Personal Days leave entitlement are granted over and above the standard 25 days holiday and bank holidays. Harris also offers all UK employees an annual Lifestyle Reward amounting £325 per annum/pro rata.