3 days ago
Toronto, Canada +3 moreStaff+
Responsibilities
- Lead enterprise AI platform deployments across complex client environments and own architecture through adoption.
- Own programme-level outcomes including time-to-value, reliability, adoption velocity, scalability, and commercial metrics across concurrent workstreams.
- Drive rapid experimentation from ambiguous business problems to working production systems.
- Architect and govern enterprise AI solutions across identity, data, security, governance, platform layers, and multi-system workflow integrations.
- Shape AI reinvention strategy, value architectures, ROI backlogs, use-case prioritization frameworks, and multi-year adoption roadmaps for senior client stakeholders.
- Define reusable reinvention blueprints, patterns, accelerators, engineering standards, and delivery learnings to grow the Forward Deployed Engineering practice.
- Lead architecture design sessions, executive workshops, and code-with sessions with client engineering teams and C-suite leaders.
Requirements
- Bachelor’s degree or college diploma in a related field.
- At least 7 years of engineering experience with cloud-native systems, APIs, microservices, containerization, and serverless architectures.
- At least 1 year of experience designing and deploying production agentic solutions involving agents, orchestration, context engineering, RAG, and workflows.
- At least 7 years of experience with AI platforms including OpenAI, Claude, Vertex AI, or open-source models, including multi-provider pipeline abstraction layers.
- At least 7 years of experience leading software engineering teams, including delivery oversight, resource allocation, performance management, and professional development.
- Demonstrated end-to-end delivery ownership in client-embedded environments and experience leading enterprise AI deployments across multiple stakeholders.
- Experience defining enterprise AI architecture across identity, data, security, governance, and multi-system integrations.
- Experience working with enterprise AI platforms such as Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir.
- Experience advising CTO, CFO, and CISO stakeholders on AI strategy and investment decisions.
- Experience leading executive workshops, architecture design sessions, or cross-functional technical engagements.
Benefits
- Full-time employment with an annual base salary range of CAD 100,300 to CAD 216,700 for British Columbia, Ontario, and New Brunswick; benefits information is provided through Accenture.
- The position is intended to fill a brand-new role.
Categories
Forward Deployed
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.