Sr. AI Technical Engagement Lead
New
CanadaFull-TimeSenior
Salary200,000 - 225,000 USD per year
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Job Details
- Required Skills
- RESTful APIsPrompt Engineering
Requirements
- Proven experience leading large, multi-workstream engagements involving transformation, migration, modernization, or enterprise-scale programs.
- Ability to lead engineering teams while managing trusted relationships with executive client stakeholders.
- Strong experience operating in a leadership-focused architecture role rather than solely as an individual contributor.
- Deep expertise in AI solution architecture, including agentic systems, multi-agent orchestration, retrieval-augmented generation (RAG), semantic search, prompt engineering, and model evaluation.
- Experience with Azure AI technologies, including Azure AI Foundry, Azure OpenAI, Azure AI Search, Copilot Studio, Power Platform, and Microsoft 365/Graph integrations.
- Strong understanding of data architecture concepts, including embeddings, vectorization, retrieval pipelines, Microsoft Fabric, and enterprise data grounding.
- Knowledge of identity, security, and governance practices, including Entra ID, RBAC, OAuth flows, permission models, MCP governance, and secure AI deployment approaches.
- Experience designing enterprise integrations using REST APIs and connecting AI solutions with ERP, CRM, and business applications.
- Familiarity with LLMOps practices, including evaluation frameworks, telemetry, confidence thresholds, guardrails, and production monitoring.
- Excellent communication, stakeholder management, and strategic problem-solving skills.
- Ability to operate effectively in a remote, fast-paced, and evolving technology environment.
Responsibilities
- Define and own the technical vision, architecture, and solution standards across multiple engagements within strategic accounts.
- Consolidate concurrent projects into a coordinated delivery approach with clear technical direction and priorities.
- Guide engineering teams by establishing architectural standards, reviewing approaches, and ensuring solutions meet client requirements and quality expectations.
- Partner with program leadership to manage sequencing, dependencies, delivery risks, and portfolio execution.
- Serve as the primary technical partner and trusted advisor for executive-level client stakeholders.
- Lead technical discussions, communicate complex concepts clearly, and influence strategic technology decisions.
- Support active AI solution delivery by contributing senior-level architecture expertise between major engagements.
- Drive best practices across AI engineering, enterprise integration, security, governance, and production readiness.
- Ensure AI solutions are designed with appropriate monitoring, evaluation, reliability, and scalability considerations.
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