Forward Deployed AI Engineer - Associate Manager
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.
Key Skills for This Role
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.
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
Custom Software Engineer
Hyderabad, IND
Custom Software Engineer
Bengaluru, IND
Custom Software Engineer
Bengaluru, IND
Custom Software Engineer
Bengaluru, IND
Custom Software Engineer
Hyderabad, IND
Custom Software Engineer
Pune, IND
Custom Software Engineer
Hyderabad, IND
Custom Software Engineer
Hyderabad, IND