Location
London or Birmingham (hybrid), UK-based with a global remit and a core delivery team based in India.

Hours
Full Time

Salary
Negotiable

About the Role
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. Mace consult is scaling its AI capability from early adoption into a core, business-wide function with active executive sponsorship. Unlike many businesses limiting themselves to off-the-shelf AI tooling, Mace consult is building proprietary AI solutions designed to deliver measurable, client-facing outcomes across a global operation.

The Senior AI Operations Manager owns the operational health of that capability. This role is accountable for end-to-end DevOps, platform reliability, and continuous improvement of AI services, ensuring they are secure, scalable, and built to perform consistently for the long term. Working closely with business stakeholders and the Product Manager, the role shapes and prioritises AI enhancements and is responsible for transitioning new capabilities into stable, governed operational support.

Key responsibilities include:
- AI platform operations and DevOps: maintaining stable, secure, and efficient day-to-day operations across all AI platforms and services; influencing and upholding AI service SLAs; driving continuous improvement through automation, monitoring, optimisation, and technical debt reduction; owning operational runbooks, support models, and service documentation; influencing design and development of operational reporting and monitoring tooling.
- Enhancement and continuous improvement: working with the Product Manager to assess and prioritise enhancements; translating business and product priorities into delivery backlogs; overseeing delivery of incremental enhancements ensuring safe deployment.
- Delivery and transition to operations: accountable for transitioning new AI capabilities from development into live operations; ensuring operational readiness including support processes, monitoring, resilience, and security controls; embedding AI solutions into BAU support.
- Team and delivery management: coordinating a remote, India-based engineering team covering platform, data, and AI specialisms; providing clear direction, priorities, and outcomes; ensuring delivery capacity aligns with priorities.
- Governance, risk and assurance: ensuring AI solutions comply with digital, security, data, and architecture standards; managing operational risks and dependencies; ensuring compliance with policies, AI governance principles, and regulatory obligations; providing regular operational reporting to leadership and stakeholders.

Mace values safety, client focus, integrity, and creating opportunity for people to excel. The company champions a safe, diverse, and inclusive working environment and welcomes applications from a diverse range of candidates. Flexible working options including part-time, hybrid, and flexible arrangements may be discussed if suitable within the role.

Experience
- Strong experience operating and supporting AI or advanced analytics platforms in a production environment.
- Proven experience managing AI security and governance including access controls, data privacy, and responsible AI practices.
- Experience working within DevOps operating models including CI/CD, monitoring, and incident management.
- Solid understanding of generative and discriminative AI concepts, model types, limitations, and appropriate use cases.
- Experience with cloud platforms, APIs, and modern application architectures.
- Experience of AI platforms operating at enterprise scale.
- Familiarity with data engineering, ML Ops, or model lifecycle management practices.
- Experience with Microsoft AI Platforms and supporting technologies including Azure AI Foundry and Microsoft copilot ecosystems.
- Familiarity with Oracle AI ecosystem.
- Strong stakeholder management and communication skills, able to translate complex technical concepts into clear operational outcomes.
- Structured and methodical approach to problem solving and service improvement.
- Commercial awareness with ability to balance cost, risk, and value.
- Proven experience leading and coordinating distributed, offshore delivery teams.
- Ability to set clear priorities, drive accountability, and maintain delivery focus for a remote team.
- Building and maintaining effective working relationships across product, engineering, and support functions without direct line management authority.
- Significant experience (typically 5+ years) operating technology platforms or services within medium to large enterprises.
- 2+ years’ experience in AI advanced analytics or software platform operations (or equivalent) in a production environment.
- Proven experience coordinating remote, offshore delivery teams.
- Experience transitioning innovative or emerging technologies into live operational environments.

About you
Enthusiastic and motivated with a strong commitment to operational excellence and continuous improvement. You are a collaborative leader who thrives in a complex, fast-paced environment and can influence across multiple teams and stakeholders. You demonstrate integrity, client focus, and a safety-first mindset aligned with Mace’s values.

Qualifications
Relevant experience and proven track record in AI platform operations and DevOps are essential. Formal qualifications are not explicitly stated but experience with Microsoft and Oracle AI ecosystems, cloud platforms, and AI governance frameworks is highly desirable.