Senior Delivery Lead
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Key skills for this role
Role Overview
Lead the strategy, roadmap, and execution of agentic AI initiatives.
Define how AI agents act independently to accomplish tasks, manage workflows, and deliver measurable business outcomes.
Work at the intersection of applied AI, engineering, and product strategy in a hands-on, high-ownership role.
Key Skills for This Role
Full Job Posting
Opportunity
Lead the strategy, roadmap, and execution of agentic AI initiatives.
Define how AI agents act independently to accomplish tasks, manage workflows, and deliver measurable business outcomes.
Work at the intersection of applied AI, engineering, and product strategy in a hands-on, high-ownership role.
Delivery Responsibilities
- Evaluate processes and resources, identify product limitations, and modify designs to improve adoption and quality.
- Gather internal and external feedback to identify new products and improvements.
- Develop requirements for new products and revisions to existing products.
- Track projects from inception through release.
- Create processes to measure product quality, evaluate results, identify deficiencies, and adjust to client and business needs.
Required Skills
- Deep understanding of large language models and agent-based architectures.
- 4–7+ years of technical program or product management experience in high-growth startups, SaaS, or complex enterprise environments.
- Ability to understand interactions among AI agents, APIs, internal data sources, and other agents.
- Proficiency in SQL and data analytics to validate hypotheses and evaluate agent effectiveness.
- Ability to solve problems and manage ambiguity in fast-paced environments where products are defined in real time.
Preferred Qualifications
- Hands-on experience with AI agent frameworks such as LangChain, Dify.ai, or CrewAI.
- Background in cybersecurity, identity management, or fintech.
- Experience launching a new product from concept to general availability.
About RBC Borealis
RBC Borealis brings together architects, engineers, scientists, and product experts focused on AI, data innovation, research, solutions, and resilient data platforms.
The organization works on areas including time series forecasting, causal machine learning, responsible AI, and data engineering for financial industry challenges.
Employment Details
- The position is full time and salaried.
- The role is based in Toronto, Canada.
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