Forward Deployed AI Engineer

Accenture UK & Ireland; Birmingham; On-site; GBP 70,000 - 110,000; Full time

Job summary

Accenture UK & Ireland is seeking Forward Deployed AI Engineers to work embedded inside client enterprises, delivering AI platform deployments and scalable architectures across the full stack.

You will own outcomes such as time-to-value, reliability, and adoption velocity, working directly with client teams to productionize AI solutions and share learnings across engagements.

Qualifications

• Hands-on engineering experience with cloud-native systems.
• Demonstrated expertise in designing and deploying agentic solutions.
• End-to-end delivery ownership in client-embedded environments.

Responsibilities

• Embed with client engineering and business teams to deploy AI platforms.
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, scalability.
• Move from ambiguous business problems to working production systems via rapid experimentation.
• Design and govern AI architectures across the enterprise stack, including identity, data, security, governance, platform layer, and workflow integration.
• Build reusable patterns, playbooks, and accelerators for client ownership after you leave.

Skills

Cloud-native systems

APIs

Microservices

Containerization

Serverless

Agentic solutions

End-to-end delivery

Job description

Shape the future of AI-led business transformation.

A Forward Deployed AI Engineer works embedded inside a client's enterprise, shoulder to shoulder with their teams, making complex AI platforms work in real organisational environments. You own outcomes: time-to-value, adoption, reliability, and scalability.

We are building the largest Forward Deployed Engineering capability in the services industry. The engineers who join at this stage will define what the role looks like at scale, and will work on the most interesting enterprise AI problems across every industry.

What You Will Do

• Embed directly with client engineering and business teams to deploy, scale, and operationalise AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir, inside enterprise environments
• Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability
• Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready
• Design and govern AI architectures across the full enterprise stack, spanning identity, data, security, governance, platform layer, and workflow integration
• Build reusable patterns, playbooks, and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements

What We Are Looking For

• Hands-on engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)
• Demonstrated expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows)
• Demonstrated end-to-end delivery ownership in a client-embedded environment, with experience building relationships with senior stakeholders

We are hiring across Europe at multiple levels.