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Salary
$72k – $155k per year
Location
In office (Toronto, Ottawa, Calgary, Vancouver)
Seniority
Senior · 7+ years exp
Visa
Positions approved through LMIA in 12 months: 5 · for this role: 4
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 19, 2026. Accenture scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.

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.

Key Responsibilities

  • Lead enterprise AI platform deployments across complex multi-stakeholder client environments - Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir - owning the full programme from architecture through adoption
  • Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached
  • Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments
  • Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale
  • Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritization frameworks, and multi-year AI adoption roadmaps
  • Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice
  • Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams
  • Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers

Basic 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 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 with AI platforms (OpenAI, Claude, Vertex AI, or open-source models), including building abstraction layers for multi-provider pipelines
  • Minimum of 7 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 leading enterprise AI deployments across multi-stakeholder environments
  • Experience managing and developing engineering teams, including performance management and development planning
  • Experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir
  • Experience defining enterprise AI architecture across identity, data, security, governance, and multi-system integrations
  • Experience working directly with senior stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions
  • Experience leading executive workshops, architecture design sessions, or cross-functional technical engagements

#LI-NA-FY25 and #LI-MP

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 $100,300 to $216,700

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 atwww.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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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.

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