Forward Deployed AI Engineer - Senior Manager
Role Overview
A production engineering role embedded with client enterprises to make complex AI platforms work in real organizational environments.
Own outcomes such as time-to-value, adoption, reliability and scalability; the role is described as neither consulting, project delivery nor research.
Forward Deployed AI Engineers form part of Accenture’s Reinvention Deployment Engineering pods.
Key Skills for This Role
Full Job Posting
Role description
A production engineering role embedded with client enterprises to make complex AI platforms work in real organizational environments.
Own outcomes such as time-to-value, adoption, reliability and scalability; the role is described as neither consulting, project delivery nor research.
Forward Deployed AI Engineers form part of Accenture’s Reinvention Deployment Engineering pods.
Key responsibilities
- Own account-level AI transformation from platform selection and architecture through enterprise-wide adoption.
- Be accountable for deployment outcomes, including time-to-value, reliability, adoption and ROI, reporting to client executive leadership.
- Translate executive strategy into production AI systems and define enterprise architecture and governance standards.
- Work with client CTO, CFO and CISO on investment strategy, board-level narrative and multi-year reinvention roadmaps.
- Develop reusable patterns and playbooks; lead executive workshops, board engagements and architecture reviews.
Required qualifications
- Bachelor’s degree or college diploma in a related field.
- 10–15 years of cloud-native engineering experience, including APIs, microservices, containers and serverless architectures.
- At least one year designing and deploying agentic solutions in production; at least seven years working with AI platforms.
- Experience building abstraction layers for multi-provider AI pipelines and leading software engineering teams for 10–15 years.
- Experience with client-embedded enterprise AI deployment, enterprise architecture standards, executive stakeholders and workshops.
- Experience developing reusable deployment frameworks or playbooks and contributing to engineering standards or capability frameworks.
Compensation
- The stated annual salary range is CAD 142,050 to CAD 292,000 for British Columbia, Ontario and New Brunswick.
- Compensation varies based on office location, role, skill set and experience; the range is a guideline and may be exceeded.
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