Senior AI Architect

Senior AI Architect

Location: UK (Hybrid)

Clearance: SC Cleared or Clearable

Overview

We are seeking an experienced Senior AI Architect to lead the design, development, and deployment of advanced artificial intelligence solutions across cloud and on-premise environments. The successful candidate will combine strong technical expertise in AI and data science with proven leadership in delivering enterprise-grade AI systems to public and private sector clients.

Key Responsibilities

• Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI.
• Lead technical delivery teams, providing guidance on best practice, architecture, and development processes.
• Collaborate with stakeholders to define AI strategy, translate business needs into technical solutions, and deliver measurable outcomes.
• Oversee solution deployment in secure environments, ensuring scalability, performance, and compliance with governance standards.
• Manage and mentor technical teams, driving Agile delivery and ensuring project milestones and quality standards are met.
• Contribute to business development activities, including bid writing, client presentations, and proposal delivery.

Skills and Experience Required

• Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection.
• Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional teams.
• Proven experience of winning work with private and public sector clients (or internal clients within large organisations) through RFI/RFP responses, bid documentation, and client presentations.
• Hands-on experience with data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn .
• Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform .
• Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD ), and GitHub , ensuring robust and secure solution delivery.
• Demonstrated ability to build and lead high-performing technical teams, manage workloads, run Agile processes, and identify and mitigate project risks.
• Must hold or be eligible to obtain Security Check (SC) clearance.