Key responsibilities
- Design and implement AI development and experimentation environments
- Evaluate emerging AI tooling, frameworks and technology platforms
- Build integration services, APIs and orchestration capabilities
- Support deployment, monitoring and operational readiness activities
- Assess tooling costs, licensing impacts and infrastructure requirements
- Develop reusable accelerators, technical assets and reference implementations
- Implement security controls, monitoring and operational guardrails
- Support continuous improvement and optimisation of AI platforms
- Give technical guidance to multidisciplinary teams
Required technical competencies
- Software engineering and cloud infrastructure expertise
- Experience with AI platforms such as AWS Bedrock and Microsoft Foundry, plus APIs and orchestration frameworks
- Knowledge of Azure AI services and cloud-native architectures
- DevOps, CI/CD and Infrastructure as Code practices
- Cost optimisation and cloud consumption management
- Security, monitoring and operational support principles
- Integration and automation technologies
Personal attributes
- Strong technical curiosity and an innovation mindset
- A pragmatic approach to balancing risk, cost and capability
- Adaptable and responsive to emerging technologies
- Collaborative and supportive team player
- Strong ownership and delivery focus
- Comfortable working with uncertain or incomplete requirements
This role requires additional vetting, which may take longer than a standard onboarding process.
Rate:
£400/day
Location:
United Kingdom
IR35 Status:
Inside
Remote Status:
Remote
Industry:
IT
Seniority Level:
Not Specified