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 workplace. 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

Own account-level AI transformation across the client enterprise — from platform selection and architecture through to enterprise-wide adoption and reinvention at scale

Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI — directly reported to client executive leadership

Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise





Define enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, multi-platform integration, and AI lifecycle management

Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board level narrative, and multi-year reinvention roadmap

Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like — assets that scale across markets, industries, and the FDE practice globally

Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory

Basic Qualifications Required qualifications

Bachelor’s degree or college diploma in a related field.

10–15 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures

Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments

Minimum of 7 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models

Experience building abstraction layers to manage multi-provider AI pipelines





10–15 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports

Demonstrated end-to-end delivery ownership in a client-embedded environment

Experience working directly with enterprise clients on AI deployment initiatives

Experience defining enterprise AI architecture standards, including identity, data, security, and AI lifecycle management

Experience working with executive stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions

Experience leading executive workshops, board-level engagements, or cross-functional architecture reviews

Experience developing reusable deployment frameworks or playbooks

Experience contributing to the development of engineering standards, practice models, or capability frameworks

Compensation Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below. The recruiting efforts for this position are intended to fill a brand new position. The base pay range shown below is intended as a guideline to reflect the majority of offers for this role. It does not represent a maximum limit — in some cases, actual compensation may exceed the range where appropriate. Information on benefits is here.

Role Location Annual Salary Range

British Columbia/Ontario/New Brunswick $142,050 to $292,000

📌 Forward Deployed AI Engineer (Vancouver)
🏢 Accenture
📍 Vancouver