Role Summary 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. Accountabilities 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. Ensure adherence to governance, Dev Sec Ops protocols. Qualifications 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. Experience in: Gen AI models (GPT, Claude, Gemini, Copilot) and prompt engineering techniques Agentic AI, MCP, and Graph/RAG architectures Gen AI Frameworks (Amazon Bedrock, Lang Chain, Llama Index, Hugging Face, Pands AI) Web application development using Next.Js, React, Type Script/Java Script AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation) Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments ETL orchestration using Apache Airflow/DAGs Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4 J, Neptune) and query optimization Python programming (Num Py, Pandas, Matplotlib, Boto3) Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium) Familiarity with SDLC best practices, Dev Sec Ops, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align) Knowledge of LLM fine‑tuning techniques Experience with BI tools like Quick Sight, Tableau, and knowledge of financial markets and enterprise data systems Salary (New York) The salary range for this position is $163,000 to $255,000. 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 perks, a performance‑based incentive plan, a 401(k) plan and paid time off. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to, experience and expertise. Benefits Comprehensive benefits, a performance‑based incentive plan, a 401(k) plan, paid time off, and competitive total rewards package. EEO and Accessibility 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 CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for

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