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Forward Deployed AI Engineer - Associate Manager

Accenture
Calgary, CAN
Full-time
Mid-Senior
Onsite
CAD 100,300 to CAD 216,700
Discovered 6 days ago
Enterprise AI deploymentCloud-native systemsAPIs and API integrationMicroservicesContainerizationServerless architectures

Full Job Posting

Role overview

Production engineering role embedded with enterprise clients; not a consulting, project-delivery, or research position.

Own outcomes including time-to-value, adoption, reliability, and scalability for enterprise AI deployments.

Travel may be required and can vary from 25% to 75% based on business and client needs.

Responsibilities

  • Lead enterprise AI platform deployments from architecture through adoption and ongoing iteration across concurrent client workstreams.
  • Prototype and deploy AI-enabled workflows, agents, copilots, and automations into production environments.
  • Architect solutions across identity, data, security, governance, platform layers, and multi-system integrations.
  • Shape client AI strategy, value architecture, ROI backlogs, use-case priorities, and multi-year adoption roadmaps.
  • Develop reusable engineering standards, blueprints, patterns, and accelerators from delivery learnings.
  • Lead architecture sessions, executive workshops, and code-with sessions; bridge client business and technical teams.
  • Build end-to-end AI solutions integrating LLMs and AI services with enterprise platforms and internal systems.

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 5 years of software engineering using Java, TypeScript/JavaScript, or Python, and 5 years building API-integrated distributed production systems.
  • At least 1 year designing and deploying production agentic solutions and applying AI-native practices across the software development lifecycle.
  • At least 1 year working with AI platforms and multi-provider pipelines, including enterprise AI platforms.
  • At least 7 years leading and developing software engineering teams; at least 5 years in client-facing communication and collaboration.
  • At least 5 years translating business needs into technical designs in large enterprises or professional services.
  • Demonstrated client-embedded AI deployment ownership, enterprise AI architecture experience, and senior-stakeholder advisory experience.

Compensation

  • The stated annual salary range is CAD 100,300 to CAD 216,700 for British Columbia, Ontario, and New Brunswick; actual offers may vary.

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