Sr. AI Technical Engagement Lead

About the role

The Senior AI Technical Engagement Lead will define and own the technical vision, architecture, and solution standards across multiple engagements within strategic accounts. They will guide engineering teams, consolidate concurrent projects into a coordinated delivery approach, and serve as the primary technical partner and trusted advisor for executive-level client stakeholders.

Responsibilities

• Own the technical strategy and direction across a portfolio of AI engagements, ensuring alignment, scalability, and successful delivery across complex enterprise initiatives.
• 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.

Requirements

• Extensive experience delivering enterprise-scale technology programs and guiding AI architecture initiatives.
• Proven experience leading large, multi-workstream engagements involving transformation, migration, modernization, or enterprise-scale programs.
• 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.

Benefits

Competitive compensation range of approximately $200,000 to $225,000 USD equivalent, with Canada-based compensation adjusted accordingly.
Fully remote work environment within Canada.
Comprehensive health, dental, and vision insurance coverage.
Employer-covered medical premiums for employees.
Flexible paid time off (PTO) and retirement plan options.
Opportunities for continuous learning, professional development, and AI-focused training.
Flexible work arrangements supporting work-life balance.
Wellness programs and employee support initiatives.
Opportunity to work on innovative AI transformation projects with enterprise clients.