Job Specifications
Company Description
Make an impact at a global and dynamic investment organization
When you join CPP Investments, you are joining one of the world’s most admired and respected institutional investors. As a professional investment management organization, CPP Investments invests the funds of the Canada Pension Plan (CPP) to help ensure its financial sustainability for generations of working and retired Canadians.
CPP Investments invests across regions and asset classes to build a globally diversified portfolio. It holds assets in public equity, private equity, real estate, infrastructure, and fixed income, and the CPP Fund is projected to reach $3.6 trillion in assets by 2050. The organization is headquartered in Toronto with offices in Hong Kong, London, Mumbai, New York City, San Francisco, São Paulo, and Sydney.
CPP Investments successfully attracts, selects, and retains talented individuals from top-tier institutions worldwide. Join our team for access to:
Stimulating work in a fast-paced and intellectually challenging environment
Accelerated exposure and responsibility
Global career development opportunities
Diverse and inspiring colleagues and approachable leaders
A hybrid-flexible work environment with an emphasis on in-person collaboration
A culture rooted in principles of integrity, partnership, and high performance
An organization with an important social purpose that positively impacts lives
If you have a passion for performance, value a collegial and collaborative culture, and approach work with the highest integrity, invest your career here.
Job Description
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 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. The ideal candidate is a senior engineer passionate about coding, with deep expertise in python, emerging tech, cloud infrastructure, and AI/ML —and thrives in a fast-paced, exploratory environment.
As a Lead Software Engineer, you will guide and participate in building and supporting value-add technology solutions and products end-to-end. You will also demonstrate leadership and drive engineering excellence within your team and influence the same across the Technology & Data department.
Major Accountabilities
Lead and actively contribute to the development of AI products, pilots and solutions, with a focus 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 and emerging tech.
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. Manage 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, DevSecOps 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-4o, Claude, LLaMA) and prompt engineering techniques
Agentic AI, MCP, and Graph/RAG architectures
Gen AI Framework (LangChain, LlamaIndex, Amazon Bedrock)
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
ETL orchestration using Apache Airflow/DAGs
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 in BI tools like QuickSigh