Forward Deployed AI Engineer - Senior Manager
Role Overview
A production engineer embedded within client enterprises to make complex AI platforms work in real organizational environments.
Own outcomes such as time-to-value, adoption, reliability, and scalability rather than delivery milestones.
The role is presented as engineering work, not consulting, project delivery, or research.
Key Skills for This Role
Full Job Posting
Role description
A production engineer embedded within client enterprises to make complex AI platforms work in real organizational environments.
Own outcomes such as time-to-value, adoption, reliability, and scalability rather than delivery milestones.
The role is presented as engineering work, not consulting, project delivery, or research.
Responsibilities
- Own account-level AI transformation from platform selection and architecture through enterprise adoption and scaled reinvention.
- Take accountability for deployment outcomes including time-to-value, reliability, adoption, and ROI, reporting directly to client executive leadership.
- Translate executive strategic intent into production AI systems operating across the enterprise.
- Define enterprise AI architecture standards and governance for identity, data, security, multi-platform integration, and AI lifecycle management.
- Shape AI investment strategy, board-level narratives, and multi-year roadmaps with client CTO, CFO, and CISO stakeholders.
- Codify reusable enterprise AI patterns and playbooks for use across markets, industries, and the global practice.
- Lead executive workshops, board-level engagements, and cross-practice 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, containerization, and serverless architectures.
- At least 1 year designing and deploying production agentic solutions involving agents, orchestration, context engineering, RAG, or workflows.
- At least 7 years working with AI platforms such as OpenAI, Claude, Vertex AI, or open-source models.
- Experience building abstraction layers for multi-provider AI pipelines.
- 10–15 years leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports.
- End-to-end ownership in a client-embedded environment and direct enterprise client experience on AI deployment initiatives.
- Experience defining enterprise AI architecture standards, engaging executive stakeholders on strategy and investment, and leading executive or board-level engagements.
- Experience developing reusable deployment frameworks or playbooks and contributing to engineering standards, practice models, or capability frameworks.
Compensation
- For full-time employment, the stated annual base pay range for British Columbia, Ontario, and New Brunswick is CAD 142,050–292,000; actual compensation varies and may exceed the range.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Accenture
Cloud Enterprise Architect
Ottawa, CAN
Accenture seeks a hands-on architect to design and guide secure, scalable cloud and hybrid data platforms across their full lifecycle. Candidates need at least 8 years in modern data architecture, 5 years delivering data
SAP Finance Lead
Ottawa, CAN
ARE YOU READY to step up and take your technology expertise to the next level? There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to create a rewarding career at Ac
Cloud Enterprise Architect
Ottawa, CAN
SAP Finance Lead
Ottawa, CAN
AI Native Software Engineer
Pune, IND
Custom Software Engineer
Chennai, IND
AI Native Software Engineer
Hyderabad, IND
AI Native Software Engineer
Bengaluru, IND
Security Transformation Senior Analyst
Bengaluru, IND
Technology Architect
Pune, IND