Location
Central London (Hybrid role with options for London or Birmingham base)

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 and 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, this role shapes and prioritises AI enhancements and is responsible for transitioning new capabilities into stable, governed operational support. The role has a global remit with a core delivery team based in India.

Key responsibilities include:
- AI platform operations and DevOps: maintaining stable, secure, and efficient day-to-day operations across all AI platforms and services, upholding SLAs, driving continuous improvement through automation and optimisation, and owning operational documentation.
- Enhancement and continuous improvement: collaborating with the Product Manager to prioritise enhancements, translating business priorities into delivery backlogs, and overseeing safe deployment of changes.
- Delivery and transition to operations: ensuring operational readiness for new AI capabilities, embedding AI solutions into business-as-usual support.
- Team and delivery management: coordinating a remote India-based engineering team, providing clear direction, aligning delivery capacity to priorities.
- Governance, risk and assurance: ensuring AI solutions comply with digital, security, data and architecture standards, managing operational risks, and providing regular operational reporting to leadership and stakeholders.

This is a strategic role requiring strong leadership, technical expertise, and the ability to work across diverse teams and geographies to deliver innovative AI solutions that drive business value.

Experience
- Strong experience operating and supporting AI or advanced analytics platforms in production environments.
- 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 with AI platforms at enterprise scale.
- Familiarity with data engineering, ML Ops, or model lifecycle management.
- Experience with Microsoft AI Platforms and supporting technologies including Azure AI Foundry and Microsoft Copilot ecosystems.
- Familiarity with Oracle AI ecosystem.
- Proven experience leading and coordinating distributed, offshore delivery teams.
- Significant experience (typically 5+ years) operating technology platforms or services within medium to large enterprises.
- At least 2 years’ experience in AI advanced analytics or software platform operations in production.
- Experience transitioning innovative or emerging technologies into live operational environments.

About you
- 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 the ability to balance cost, risk, and value.
- Ability to set clear priorities, drive accountability, and maintain delivery focus for remote teams.
- Skilled at building and maintaining effective working relationships across product, engineering, and support functions without direct line management authority.

Qualifications
- No specific formal qualifications required, but relevant experience in AI platform operations, DevOps, and team leadership is essential.