As a Lead Engineer for AI & Emerging Tech, you will drive the design, development, and deployment of next‑generation tech and AI‑powered solutions that unlock business value across the organization. This is a hands‑on, coding‑intensive leadership role, where you will code, architect, pilot and build robust solutions, mentor engineers, and push the boundaries of what’s possible with AI, AWS cloud, and emerging technologies. You’ll partner with cross‑functional teams to identify high‑impact use cases, lead agile engineering sprints, and ensure solutions are secure, scalable, and aligned with organizational goals.

Lead and actively contribute to the development of AI products, pilots and solutions, focusing on clean, maintainable code using Python, React, and AWS tools.

Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt‑based applications.

Implement cloud‑native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.

Optimize performance of AI products, drive continuous learning and experimentation with cutting‑edge Gen AI methods, frameworks, APIs, and toolchains.

Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.

Act as a subject‑matter expert (SME) on Gen AI technologies and help shape the organization’s AI roadmap.

Own end‑to‑end delivery of Gen AI solutions, managing timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).

Monitor operational metrics and incident data to drive continuous improvement and reliability.

Bachelor’s degree in computer science, engineering, or a related field; advanced degrees or certifications are an asset.

6+ years of progressive experience in engineering roles, including at least 1–2 years leading emerging tech or AI initiatives.

Gen AI models (GPT, Claude, Gemini, Copilot)



and prompt engineering techniques

Agentic AI, MCP, and Graph/RAG architectures

Gen AI Frameworks (Amazon Bedrock, LangChain, LlamaIndex, Hugging Face, PandsAI)

Web application development using Next.js, React, TypeScript/JavaScript

AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)

Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments

Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization

Python programming (NumPy, Pandas, Matplotlib, Boto3)

Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium)

Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align)

Knowledge of LLM fine‑tuning techniques

Experience with BI tools like QuickSight, Tableau, and knowledge of financial markets and enterprise data systems The base salary range shown here is a reasonable expectation for the posted role and is part of a competitive total rewards package which includes comprehensive benefits, a performance‑based incentive plan, a 401(k) plan and paid time off. Comprehensive advantages, a performance‑based incentive plan, a 401(k) plan, paid time off, and competitive total rewards package.

CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Fraud Warning We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday. CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision‑making. #

📌 Lead Software Engineer, Ai & Emerging Tech (Toronto)
🏢 Canada Pension Plan Investment Board
📍 Toronto