Forward Deployed AI Engineer in Slough

Key Responsibilities

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. 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

Basic Qualifications

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deepexpertisein designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Experience with AI platforms OpenAI, Claude, Vertex AI, plus open-source models including building abstraction layers to manage multi-provider pipelines. Experience deploying toproduction,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 ondemonstrateddeployment experience and outcome ownership, not CV pattern matching

About Accenture

Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.