Forward Deployed AI Engineer - Senior Manager

Role overview

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.
• Translate executive strategy into production AI systems across the enterprise.
• Define enterprise AI architecture standards and governance for identity, data, security, integrations, and AI lifecycle management.
• Shape AI investment strategy, board-level narrative, and multi-year roadmap with client CTO, CFO, and CISO.
• Develop reusable enterprise AI patterns and playbooks for global use.
• Lead executive workshops, board 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, including 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 direct-report development.
• Experience owning end-to-end delivery in client-embedded environments and working on enterprise AI deployments.
• Experience defining enterprise AI architecture standards and working with executive stakeholders on AI strategy and investment.
• Experience leading executive workshops or board-level engagements and developing reusable frameworks or playbooks.
• Experience contributing to engineering standards, practice models, or capability frameworks.

Compensation

• Annual base salary range for British Columbia, Ontario, and New Brunswick is $142,050 to $292,000.
• Compensation varies based on location, role, skills, and experience; actual offers may exceed the stated range.