Lead Software Engineer, AI & Emerging Tech

CPP Investments | Investissements RPC•Toronto, ON

1d•$163,000 - $255,000•Onsite

About The Position

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. 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.

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 models (GPT, Claude, Gemini, Copilot) and prompt engineering techniques
Agentic AI, MCP, and Graph/RAG architectures
Gen AI Framework (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
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 QuickSight, Tableau, and knowledge of financial markets and enterprise data systems

Responsibilities

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.