Azure AI Platform Engineer – Secure Sandbox & Innovation

TRIA; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

TRIA is seeking a Platform Manager to lead the establishment and management of secure Azure-based environments for AI experimentation and adoption. The role sits at the intersection of Digital, IT and Security teams and offers significant autonomy in a greenfield setting.

You will build development sandboxes, implement access controls and guardrails, assess risks, and collaborate with Security and Infrastructure to ensure compliant, scalable AI testing and transition approved experiments into

Qualifications

• Experience building, configuring and managing development, testing or sandbox environments.
• Good understanding of identity, access management and environment security.
• Ability to assess risk and perform technical due diligence on new technologies.
• Comfortable engaging with Security, Infrastructure and Architecture teams.

Responsibilities

• Build and manage Azure environments for AI experimentation, testing and development.
• Establish secure sandboxes for evaluating new AI tools and emerging technologies.
• Design and implement appropriate access controls, permissions and environment guardrails.
• Assess technical, security and data risks before new tools are adopted.
• Work closely with Security and Infrastructure teams to ensure solutions meet organisational requirements.
• Support the transition of successful experiments into approved business use.
• Help define standards and best practice for AI-enabled development and innovation.

Skills

IAM

Security risk assessment

Greenfield environment

Stakeholder engagement

Tools

Azure

Entra ID

Conditional Access

Job description

TRIA is seeking a Platform Manager to lead the establishment and management of secure Azure-based environments for AI experimentation and adoption. The role sits at the intersection of Digital, IT and Security teams and offers significant autonomy in a greenfield setting.

You will build development sandboxes, implement access controls and guardrails, assess risks, and collaborate with Security and Infrastructure to ensure compliant, scalable AI testing and transition approved experiments into