Asks for

The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”
The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”
The ad says“Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).”
The ad says“Very strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.”
The ad says“Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.”
The ad says“Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).”
The ad says“Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).”
The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”
The ad says“Very strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.”
The ad says“Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).”
The ad says“Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.”
The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”
The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”
The ad says“Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).”
The ad says“Very strong experience deploying to production , CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.”
The ad says“Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.”
The ad says“Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.”

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge.

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too.

“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

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.

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

Basic Qualifications

Engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

Some expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

Strong experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.

Very strong 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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating 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 world’s 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 www.accenture.com

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.