Enterprise AI Transformation Engineer

Accenture PLC; Toronto; On-site; CAD 142,000 - 292,000; Full time

Job summary

Accenture is seeking a Forward Deployed AI Engineer to work embedded inside a client's enterprise, delivering production AI platforms and driving value at scale. You own outcomes such as time-to-value, adoption, reliability, and ROI, beyond mere milestones.

You will partner with client leadership to define enterprise AI architecture standards, governance, and rollout playbooks, leading executive workshops and cross‑practice reviews to reinvention across markets and industries.

Qualifications

• Bachelor’s degree or college diploma in a related field.
• 10–15 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures
• Minimum of 1 year of experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments
• Minimum of 7 years of experience working with AI platforms, including OpenAI, Claude, Vertex AI, or open-source models
• Experience building abstraction layers to manage multi-provider AI pipelines
• 10–15 years of experience leading software engineering teams, including delivery oversight, resource allocation, and professional development of direct reports
• Demonstrated end-to-end delivery ownership in a client-embedded environment
• Experience working directly with enterprise clients on AI deployment initiatives
• Experience defining enterprise AI architecture standards, including identity, data, security, and AI lifecycle management
• Experience working with executive stakeholders (CTO, CFO, CISO) on AI strategy and investment decisions
• Experience leading executive workshops, board-level engagements, or cross-functional architecture reviews
• Experience developing reusable deployment frameworks or playbooks
• Experience contributing to the development of engineering standards, practice models, or capability frameworks

Responsibilities

• Own account-level AI transformation across the client enterprise — from platform selection and architecture through to enterprise-wide adoption and reinvention at scale
• Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI — directly reported to client executive leadership
• Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise
• Define enterprise AI architecture standards and governance frameworks across the client organization, spanning identity, data, security, multi-platform integration, and AI lifecycle management
• Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board level narrative, and multi-year reinvention roadmap
• Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like — assets that scale across markets, industries, and the FDE practice globally
• Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory

Skills

AI platform deployment

Enterprise AI architecture

Cloud-native systems

OpenAI/Claude/Vertex AI

Leadership of software teams

Executive stakeholder engagement

Reusable deployment patterns

Education

Bachelor’s degree or college diploma in a related field

Tools

OpenAI

Claude

Vertex AI

Job description

Accenture is seeking a Forward Deployed AI Engineer to work embedded inside a client's enterprise, delivering production AI platforms and driving value at scale. You own outcomes such as time-to-value, adoption, reliability, and ROI, beyond mere milestones.

You will partner with client leadership to define enterprise AI architecture standards, governance, and rollout playbooks, leading executive workshops and cross‑practice reviews to reinvention across markets and industries.