Overview
You will own the end-to-end operation of Mace Consult’s AI capability. You’ll ensure platform reliability, security and scalable performance, coordinating with stakeholders and the Product Manager to shape and transition AI enhancements into stable operations. The role blends DevOps discipline with governance, operating across a global setup with a core team in India and a UK-based hub in London. You will drive automation, monitoring and service documentation to sustain long-term, client-facing AI services and maintain alignment with standards and policies.
Pay / Benefits
- part-time options
- flexible working
- hybrid working options
Responsibilities
- Oversee AI platform operations and DevOps to keep AI services stable, secure and efficient
- Ensure AI service SLAs are met with focus on security, availability and performance
- Drive continuous improvement through automation, monitoring, optimisation and reducing technical debt
- Own runbooks, support models and service documentation for AI capabilities
- Influence operational reporting/monitoring tooling to maintain visibility into AI health and performance
- Collaborate with Product Manager to prioritise enhancements and translate priorities into delivery backlogs
- Oversee safe testing, validation and deployment of incremental AI enhancements
- Transition new AI capabilities from development into live operations with readiness, monitoring and security controls
- Coordinate a remote, India-based engineering team across platform, data and AI specialisms
- Ensure AI solutions operate in line with standards for digital, security, data and architecture
- Provide regular operational reporting on performance, SLA adherence and delivery progress to leadership
Key requirements
- Experience operating and supporting AI or advanced analytics platforms in production
- Experience managing AI security and governance including access controls and data privacy
- Experience with DevOps models (CI/CD, monitoring, incident management)
- Solid understanding of generative and discriminative AI concepts and use cases
- Experience with cloud platforms, APIs and modern app architectures
- Experience operating AI platforms at enterprise scale
- Familiarity with data engineering, ML Ops or model lifecycle management
- Experience with Microsoft AI Platforms and technologies (Azure AI Foundry, Copilot ecosystems)
- Familiarity with Oracle AI ecosystem
- Strong stakeholder management and ability to translate technical concepts to operational outcomes
- Structured problem solving and continuous service improvement mindset
- Commercial awareness and ability to balance cost, risk and value
- Proven experience leading and coordinating distributed offshore delivery teams
- Ability to set priorities and maintain delivery focus for remote teams
- Experience transitioning innovative technologies into live operations
- Typically 5+ years operating tech platforms in medium to large enterprises
- 2+ years’ experience in AI advanced analytics or software platform operations in production
- Experience coordinating remote offshore delivery teams
- Stakeholder management
- Clear and proactive communication
- Structured problem solving
- DevOps (CI/CD, monitoring, incident management)
- AI platform operations
- AI governance and security controls
…
