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.