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 Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, Open AI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoptionOwn programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attachedLead rapid experimentation at pace:



drive ambiguous business problems to working production systems in days or weeks across complex enterprise environmentsArchitect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scaleShape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmapsDefine and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practiceLead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teamsCodify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineersBasic Qualifications Required qualifications Bachelor’s degree or college diploma in a related field.Minimum of 7 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architecturesMinimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environmentsMinimum of 7 years of experience with AI platforms (Open AI, Claude, Vertex AI, or open-source models),



including building abstraction layers for multi-provider pipelinesMinimum of 7 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reportsDemonstrated end-to-end delivery ownership in a client-embedded environmentExperience leading enterprise AI deployments across multi-stakeholder environmentsExperience managing and developing engineering teams, including performance management and development planningExperience working with enterprise AI platforms such as Anthropic, Open AI, Microsoft, Google, Salesforce, SAP, or PalantirExperience defining enterprise AI architecture across identity, data, security, governance, and multi-system integrationsExperience working directly with senior stakeholders (CTO, CFO, CISO) on AI strategy and investment decisionsExperience leading executive workshops, architecture design sessions, or cross-functional technical engagementsCompensation 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/Current Brunswick $100,300 to $216,700#J-18808-Ljbffr

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