Applied AI Solutions Technical Lead

CAA Club Group • Markham, ON

5d

About The Position

At CAA Club Group (CCG), we are committed to delivering an exceptional Associate experience. We offer work-life harmony with access to an award-winning holistic wellness program, continuous learning through our robust corporate curriculum and education reimbursement program, incredible rewards, travel incentives, and product and service discounts, pay-for-performance and best-in-class recognition programs, and competitive benefits that include a defined contribution plan, personal spending account, and so much more. Join our growing team where everyone belongs! This role will guide IT application teams in identifying and designing applied AI, machine learning, and generative AI capabilities that address practical business needs. The Technical Lead will translate business requirements into reusable AI solution patterns, reference designs, and implementation guidance for delivery teams. They will create focused proofs of concept and prototypes to demonstrate emerging AI capabilities and validate feasibility, ensuring proposed AI capabilities are practical, maintainable, reliable, scalable, and aligned to enterprise architecture standards. The role also involves providing hands-on coaching and technical consultation so teams can adopt AI responsibly and consistently. Specific technical responsibilities include designing and implementing RAG pipelines, including ingestion, embeddings, retrieval strategies, and grounding, and integrating enterprise knowledge sources while respecting data classification, privacy requirements, access controls, and security boundaries. The Technical Lead will partner with various IT teams to move approved AI capabilities into production environments and support application teams through the full SDLC, CI/CD, API integration, testing, monitoring, versioning, documentation, and operational readiness for AI-enabled solutions. Ensuring solutions meet enterprise standards for performance, resilience, security, privacy, supportability, and cost management is also key, as is establishing operational guardrails, implementation standards, and support practices for consistent enterprise adoption.

Requirements

• Bachelor’s degree in Information Security, Computer Science, or a related discipline.
• 5+ years of experience in machine learning, AI, data science, software engineering, or applied AI solution delivery, with demonstrated experience moving solutions from concept to production.
• Experience in insurance, financial services, or other regulated environments.
• Familiarity with cloud AI platforms, vector databases, AI agent frameworks, and model integration approaches such as MCP or similar orchestration patterns.
• Experience measuring business outcomes from AI solutions, such as productivity improvement, reduced manual effort, improved knowledge reuse, or enhanced decision support.
• Hands-on experience with Generative AI and large language models
• Hands-on experience with Prompt engineering techniques
• Hands-on experience with RAG architectures and vector databases
• Hands-on experience with Model and system evaluation frameworks, including accuracy, relevance, safety, latency, cost, and user feedback measures
• Hands-on experience with Secure integration patterns for enterprise systems, APIs, data sources, and AI orchestration frameworks
• Strong programming skills in Python and modern AI/ML frameworks.
• Experience deploying AI solutions into production environments using disciplined SDLC, DevOps, MLOps, or platform engineering practices.

Responsibilities

• Guide IT application teams in identifying and designing applied AI, machine learning, and generative AI capabilities that address practical business needs.
• Translate business requirements into reusable AI solution patterns, reference designs, and implementation guidance for delivery teams.
• Create focused proofs of concept and prototypes to demonstrate emerging AI capabilities and validate feasibility.
• Ensure proposed AI capabilities are practical, maintainable, reliable, scalable, and aligned to enterprise architecture standards.
• Provide hands-on coaching and technical consultation so teams can adopt AI responsibly and consistently.
• Design and implement RAG pipelines, including ingestion, embeddings, retrieval strategies, and grounding.
• Integrate enterprise knowledge sources while respecting data classification, privacy requirements, access controls, and security boundaries.
• Partner with IT application, architecture, data, cybersecurity, infrastructure, and platform teams to move approved AI capabilities into production environments.
• Support application teams through SDLC, CI/CD, API integration, testing, monitoring, versioning, documentation, and operational readiness for AI-enabled solutions.
• Ensure solutions meet enterprise standards for performance, resilience, security, privacy, supportability, and cost management.
• Establish operational guardrails, implementation standards, and support practices for consistent enterprise adoption.

Benefits

• Access to an award-winning holistic wellness program
• Continuous learning through our robust corporate curriculum
• Education reimbursement program
• Incredible rewards
• Travel incentives
• Product and service discounts
• Pay-for-performance
• Best-in-class recognition programs
• Competitive benefits that include a defined contribution plan
• Personal spending account

What This Job Offers

• Job Type: Full-time
• Career Level: Senior