Accenture UK & Ireland
Forward Deployed Engineering Senior Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Description
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.
The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.
Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.
Reasons to use Rodeo
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.
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.
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.
Key Responsibilities
- Embed directly with client engineering and business teams to deploy, scale, and operationalize AI platforms — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — inside enterprise environments
- Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability, with business metrics attached — not just delivery milestones
- 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: identity, data, security, governance, platform layer, and workflow integration
- Translate technical architecture into business impact for client CTO, CFO, and CISO; shape use case roadmaps, ROI backlogs, and AI adoption strategy
- Build reusable patterns, playbooks, and accelerators that the client owns after you leave — enabling the client team to run it without you
- Lead design workshops, proofs of concept, architecture walkthroughs, and code-with sessions with client engineering and leadership teams
- Codify patterns and delivery learnings that scale across engagements and contribute to the growth of the FDE practice
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Basic Qualifications
- Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum of 1 year of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Deep experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.
- Substantial experience deploying to production, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
- Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify
- Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on
- Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level
- Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching
“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.”
Jessica, London
Skills
Location