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Accenture UK & Ireland

Forward Deployed AI Engineer

London
Posted about 21 hours ago
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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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We Are Looking For

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  • 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 AI Engineering and owning the outcomes that make enterprise AI actually work, we would love to hear from you.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

Cloud-native Systems
APIs
Microservices
Containerization
Serverless
Agentic Solutions
Orchestration
Context Engineering
RAG
Workflows
AI Architecture
Enterprise Deployment
Stakeholder Management
Rapid Prototyping

Location

London, England, United Kingdom

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