AI Solutions Engineer

CC&L Infrastructure; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial services firm in Toronto is seeking an AI Solutions Engineer to design, prototype, and operationalize AI solutions. You will work with AI frameworks and guide stakeholders in adopting AI responsibly. The ideal candidate has experience with large language models and a strong background in AI best practices. This role offers a chance to influence AI adoption in a global firm, combining innovation with compliance and governance efforts.

Qualifications

• 5+ years of experience in AI roles, particularly with LLMs and generative AI.
• Experience in deploying models on cloud platforms securely.
• Passion for teaching and enabling teams in responsible AI adoption.

Responsibilities

• Design prototypes using AI frameworks.
• Operationalize AI agents for workflow automation.
• Run workshops to enhance AI literacy.

Skills

Proven hands-on experience with large language models (LLMs)

Strong background in agentic AI frameworks

Expertise with cloud AI platforms (Azure, AWS)

Understanding of ethical AI and compliance

Ability to communicate with technical and non-technical stakeholders

Job description

Overview

AI Solutions Engineer — Connor Clark & Lunn Financial Group

Location: Toronto ON

The AI Solutions Engineer will be the technical lead and enabler designing prototyping and operationalizing AI solutions while building the frameworks best practices and toolkits that allow others to succeed with AI. This role supports the responsible and scalable adoption of AI across the firm as part of the AI Enablement Team within the IS Department. You will empower business stakeholders and technology teams to use AI responsibly, integrate agentic AI into workflows, and grow organizational capability while balancing rapid experimentation with enterprise-grade architecture.

About the Role

What You Will Do

AI Solutioning & Prototyping

• Rapidly design and iterate on prototypes using LLMs, embeddings, RAG pipelines, and agent-based frameworks (LangChain, AutoGen, etc.).
• Translate complex business challenges into AI-enabled workflows and decision-support tools.
• Build modular reusable components (prompts, agents, connectors, evaluation harnesses) that other teams can adopt.

Agentic AI Enablement

• Develop and operationalize AI agents for workflow automation, decision-making, and orchestration across business systems.
• Implement guardrails, monitoring, and feedback loops to ensure reliable, safe, and compliant agent behavior.
• Design human-in-the-loop mechanisms to balance autonomy with accountability.

Collaboration & Enablement

• Partner with business SMEs, data engineers, and governance leads to co-develop solutions that are impactful and compliant.
• Run workshops, training sessions, and co-creation labs to build AI literacy and enable teams to experiment responsibly.
• Act as a trusted advisor to business leaders, showcasing how AI can improve investment, operational, and client outcomes.

Deployment & Lifecycle Management

• Work with platform teams to deploy models securely on Azure, AWS, or OpenAI APIs, integrating with existing enterprise systems.
• Establish CI/CD pipelines, monitoring, rollback, and documentation for production AI.
• Continuously evaluate and recommend emerging tools, frameworks, and platforms that advance CC&LFG's AI maturity.

What You Bring

• Proven hands-on experience with large language models (LLMs), embeddings, RAG pipelines, and generative AI workflows.
• Strong background in agentic AI frameworks (LangChain, AutoGen, Hugging Face, or similar).
• Expertise with cloud AI platforms (Azure, OpenAI, Azure ML, AWS Bedrock, OpenAI API, Platform).
• Understanding of AI evaluation metrics, interpretability, ethical AI, and compliance.
• Ability to translate business needs into AI workflows and communicate clearly with both technical and non-technical stakeholders.
• A growth and enablement mindset: passionate about teaching, upskilling teams, and building a culture of responsible AI adoption.

Why join us

At CC&LFG you’ll be part of a team that doesn’t just deliver AI solutions — we enable the business to adopt and scale AI responsibly. You’ll pioneer the use of agentic AI in financial services, creating frameworks that help teams innovate while staying aligned with compliance and governance.

This role is your opportunity to shape the next generation of AI adoption in a global financial services firm, balancing experimentation, enablement, and enterprise-grade execution.

About Connor Clark & Lunn Financial Group

CC&L Financial Group understands the value of opportunity for our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them space to innovate and make an impact. With more than 40 years of history and offices across Canada, the US, the UK, and India, CC&L Financial Group and our multi-boutique family of affiliate firms collectively manage over $155 billion in client assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth, and retail clients.

CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

To apply, please submit your resume and cover letter as one PDF. We thank all applicants in advance for their interest, but only those candidates shortlisted for interviews will be contacted. No telephone calls or recruitment agencies will be accepted.

Key Skills

Organizational Management, Presentation Skills, Agile, SAFe, AWS, Solution Architecture, Conflict Management, Data Management, Scrum, Team Management, Pre-sales, Management Consulting

Employment Type : Full Time

Experience : years

Vacancy : 1