Lead Software Engineer, AI & Emerging Tech

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.

Accountabilities & Qualifications

• Guide and participate in building and supporting value-add technology solutions and products end-to-end.

• Demonstrate leadership and drive engineering excellence within your team and influence the same across the Technology & Data department.

• 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.

• 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, 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)
  • SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align)
  • LLM fine tuning techniques
  • Knowledge of BI tools like QuickSight, Tableau, and knowledge of financial markets and enterprise data systems

Pay

The salary range for this position is $163,000 to $255,000. US state/city legislation requires CPP Investments to include a reasonable estimate of the compensation range for this role. 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. Actual salaries may vary and may be above or below the range based on various factors, including, but not limited to, experience and expertise.