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About the Role

As a Lead Engineer for AI & Emerging Tech, you will drive AI platform enablement across the enterprise, designing, developing, and deploying next-generation tech and AI-powered solutions. This hands-on leadership role involves coding, architecting, piloting robust solutions, mentoring engineers, and exploring the potential of AI, AWS cloud, and emerging technologies. You will partner with cross-functional teams to define and implement AI platform controls, making AI capabilities usable in a controlled enterprise environment. The ideal candidate is a senior engineer passionate about coding and platform enablement with deep expertise in Python, emerging tech, cloud infrastructure, and AI/ML, thriving in a fast-paced, exploratory environment.

Responsibilities

Lead and actively contribute to enable upcoming AI features and products for the organization.
Onboard users/teams and use cases onto enterprise AI platforms (e.g. OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, and agentic frameworks).
Coordinate with cross-functional stakeholders — Information Security, Risk, Compliance, Legal, and business teams — to review, negotiate, and agree on platform controls and guardrails for implementation.
Design, build, and maintain scalable Gen AI platform capabilities, including LLM pipelines, agentic workflows, MCP integrations, and Graph/RAG architectures, using clean, maintainable Python and AWS-native tooling.
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.
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 platform enablement initiatives; manage timelines, deliverables, and milestones using Agile practices (Scrum/Kanban).
Advice, maintain, monitor and support AI platform and product users.

Requirements

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 platforms, models (ChatGPT/Codex, Claude, Gemini, Copilot) and prompt engineering techniques.
Hands-on experience implementing controls through configuration and code: IAM/access policies, guardrails, logging and audit trails, quota/rate limiting, and network/data-protection controls.
Experience with Agentic AI, MCP, and Graph/RAG architectures.
Experience with Gen AI Framework (Amazon Bedrock, LangChain, LlamaIndex, Hugging Face, PandsAI).
Experience with Web application development using Next.js, React, TypeScript/JavaScript.
Experience with AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation).
Experience with Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments.
Experience with ETL orchestration using Apache Airflow/DAGs.
Experience with Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization.
Experience with Python programming (NumPy, Pandas, Matplotlib, Boto3).
Experience with 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 QuickSight, Tableau, and knowledge of financial markets and enterprise data systems.
Motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself to high standards in a collaborative, performance-driven environment.

Skills

AI platform enablement
AI-powered solutions
Python
AWS cloud
Emerging technologies
Gen AI platforms
Gen AI models
Prompt engineering
Agentic AI
MCP
Graph/RAG architectures
Gen AI Framework
Web application development
Next.js
React
TypeScript
JavaScript
AWS services
EKS
Lambda
Fargate
Glue
Athena
Infrastructure as Code
Puppet
Terraform
Docker
Containerized deployments
ETL orchestration
Apache Airflow
Vector databases
Graph databases
Python programming
NumPy
Pandas
Matplotlib
Boto3
Automated testing frameworks
Ragas
Playwright
Zephyr
Selenium
SDLC best practices
DevSecOps
Agile Scrum
Agile Kanban
JIRA
Confluence
JIRA Align
LLM fine tuning
BI tools
QuickSight
Tableau
Financial markets
Enterprise data systems

Location

Onsite

Work Type

Full-time

Experience Level

Lead Engineer
Senior engineer
6+ years of progressive experience
1-2 years leading emerging tech or AI initiatives

Education Level

Bachelor’s degree in computer science, engineering, or a related field
Advanced degrees or certifications

Benefits

Cutting-edge AI tools
Dedicated learning time
Practical support

About the Company

Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.
With a long-term horizon and global reach, we deploy capital at scale across public and private markets.
Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance.
Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.

Equal Opportunity

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.
CPP Investments is committed to a secure and transparent recruitment process. 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.