Embedded AI Engineer: Drive Production Outcomes

Archer; Greater London; On-site; GBP 120,000 - 170,000; Full time

Job summary

Accenture is seeking Forward Deployed AI Engineers to join our Reinvention Deployment Engineering pods. You will work embedded with client teams to deploy scalable AI platforms inside enterprise environments, owning outcomes from value realization to reliability.

Work with leading AI providers and drive architecture across identity, data, security and governance. You will translate platform capabilities into measurable business impact for CIOs, CFOs and CISOs.

Qualifications

• Experience designing and deploying agentic AI solutions in production environments.
• Proven ability to deploy AI platforms with measurable business value inside enterprise environments.
• Experience with CI/CD, infrastructure as code (Terraform, Helm) and monitoring.
• End-to-end delivery ownership in a client-embedded environment; not internal projects.

Responsibilities

• Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms inside enterprise environments.
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability with business metrics.
• Move from ambiguous business problem to a working production system through rapid experimentation.

Skills

Cloud-native APIs

Agentic AI deployment

AI platforms experience

CI/CD & IaC

Stakeholder communication

Client delivery ownership

Job description

Accenture is seeking Forward Deployed AI Engineers to join our Reinvention Deployment Engineering pods. You will work embedded with client teams to deploy scalable AI platforms inside enterprise environments, owning outcomes from value realization to reliability.

Work with leading AI providers and drive architecture across identity, data, security and governance. You will translate platform capabilities into measurable business impact for CIOs, CFOs and CISOs.