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Forward Deployed AI Engineer

Accenture
Ottawa, CAN
Full-time
Mid-Senior
Onsite
CAD 100,300 to CAD 216,700.
Discovered 6 days ago
Enterprise AI platform deploymentCloud-native systemsAPIs and microservicesContainerizationServerless architectureAgentic solutions and orchestration

Full Job Posting

Role overview

This is a production engineering role embedded with enterprise client teams, not consulting, project delivery, or research.

The engineer owns outcomes including time-to-value, adoption, reliability, and scalability.

The role bridges AI pilots and scalable enterprise AI capabilities and is part of Accenture’s Reinvention Deployment Engineering pods.

Key responsibilities

  • Lead enterprise AI platform deployments from architecture through adoption across complex, multi-stakeholder client environments.
  • Own programme outcomes across concurrent workstreams, including time-to-value, reliability, adoption velocity, and scalability.
  • Move ambiguous business problems to working production systems through rapid experimentation.
  • Architect and govern solutions spanning identity, data, security, governance, platforms, and multi-system workflows.
  • Advise CTO, CFO, and CISO stakeholders on AI reinvention strategy, value architecture, ROI backlogs, use-case prioritization, and adoption roadmaps.
  • Create reusable blueprints, patterns, and accelerators; lead architecture sessions, executive workshops, and code-with sessions.
  • Codify delivery learnings, failure patterns, and engineering standards for the FDE practice.

Required qualifications

  • Bachelor’s degree or college diploma in a related field.
  • At least 7 years of cloud-native engineering experience, including APIs, microservices, containerization, and serverless architectures.
  • At least 1 year designing and deploying production agentic solutions, including agents, orchestration, context engineering, RAG, or workflows.
  • At least 7 years working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models, and building multi-provider abstraction layers.
  • At least 7 years leading software engineering teams, including delivery oversight, resource allocation, and direct-report development.
  • Demonstrated end-to-end delivery ownership in client-embedded environments and experience leading enterprise AI deployments.
  • Experience managing engineering teams, defining enterprise AI architecture, and engaging senior stakeholders on strategy and investment.
  • Experience leading executive workshops, architecture design sessions, or cross-functional technical engagements.

Compensation

  • Annual base salary range for British Columbia, Ontario, and New Brunswick is CAD 100,300 to CAD 216,700.
  • The stated range is a guideline for full-time employment and may vary with office location, role, skills, and experience; offers may exceed the range.

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