AI Native Software Engineer

Accenture UK & Ireland; Greater London; On-site; GBP 75,000 - 120,000; Full time

Job summary

Accenture UK & Ireland seeks engineers to translate platform potential into measurable business value inside live enterprise environments, across Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir.

You will embed with client teams to deploy AI platforms, own end-to-end production outcomes, and design governance across the enterprise stack.

Qualifications

• Hands-on experience with cloud-native systems and APIs.
• Design and deploy agentic AI solutions with scalable architectures.
• Deliver production-ready systems in client environments.

Responsibilities

• Embed with client engineering and business teams to deploy, scale, and operationalise AI platforms.
• 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.
• Design and govern AI architectures across the full enterprise stack.
• Build reusable patterns and accelerators that the client owns after you leave.

Skills

Cloud-native systems

APIs

Microservices

Containerization

Serverless

Agentic AI

Orchestration

Context engineering

RAG workflows

Job description

This role sits at the heart of the fastest-growing segment of the AI engineering market and we are looking for engineers who can translate platform potential into measurable business value inside a live enterprise environment.

Accenture offers breadth across every industry and enterprise technology stack, plus vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, and a direct pathway into our Forward Deployed Engineer programme.

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. If you are passionate about agentic AI and building systems that go beyond the pilot and into production at scale, we would love to hear from you.