Role Summary:As a Principal Engineer for AI & Emerging Tech, you will lead the design, development, and deployment of scalable AI solutions and products that support CPP Investments' enterprise-wide goals. This role combines deep technical expertise with strategic leadership, requiring strong collaboration with cross-functional stakeholders, guidance of technical teams, and a forward-looking mindset to evaluate and integrate emerging technologies.
You will play a key role in ensuring technical excellence, responsible AI adoption, and operational readiness of GenAI solutions-spanning experimentation, piloting, and full-scale deployment
Accountabilities & Qualifications:Accountabilities- Lead end-to-end technical architecture, planning and execution of complex AI solutions, pilots and projects.
- Produce high-level solution architectures aligned with emerging technologies, enterprise capabilities and business outcomes.
- Drive strategic technical decisions to ensure scalability, performance, and security of AI models and systems.
- Mentor and develop engineers, fostering best practices in software and AI development.
- Improve engineering maturity by introducing shared patterns, practices, and reusable components.
- Champion responsible AI practices by addressing bias, fairness, explainability, and regulatory compliance.
- Conduct risk assessments and implement mitigation strategies throughout solution lifecycles.
- Evaluate and integrate emerging technologies including AI/ frameworks, retrieval augmentation, and cloud-native deployments.
- Lead technical communications with senior stakeholders and ensure transparency in decision-making.
- Actively participate in project reviews, identifying improvement opportunities in architecture, delivery, and process.
- Align technical initiatives with broader organizational goals through collaboration with Data Science, Cybersecurity, Product, and Operations teams.
Qualifications - University degree in Computer Science, Engineering, or a related discipline; advanced degrees and relevant certifications are considered an asset.
- Minimum of 10 years of progressive software engineering experience, including experience leading the design and delivery of enterprise-scale technology solutions.
- Demonstrated experience leading AI, GenAI, or emerging technology initiatives, including driving solutions from concept through production deployment.
- Proven ability to influence and lead cross-functional teams in a collaborative, fast-paced, and matrixed environment.
- Strong experience designing, building, and operating enterprise-grade AI solutions with a focus on scalability, reliability, security, governance, and operational excellence.
- Deep expertise developing production-ready AI applications leveraging frontier large language models (LLMs), including OpenAI, Anthropic, and Google models, as well as advanced prompt engineering techniques such as chain-of-thought and few-shot learning.
- Experience architecting and implementing agentic AI systems using technologies and patterns such as Model Context Protocol (MCP), GraphRAG, and multi-agent orchestration frameworks.
- Hands-on experience with modern GenAI development frameworks, including LangChain, LlamaIndex, and Amazon Bedrock.
- Strong software engineering fundamentals with experience building distributed systems, RESTful services, event-driven architectures, APIs, and data-intensive applications.
- Experience developing cloud-native solutions on AWS, including EKS, Fargate, Lambda, Athena, Glue, and Lake Formation.
- Proficiency with Infrastructure as Code and containerization technologies, including Terraform, Puppet, Docker, and Kubernetes.
- Experience building modern web applications using technologies such as Next.js, React, and TypeScript.
- Strong Python development experience, including data engineering and ETL orchestration using Apache Airflow, DAGs, NumPy, Pandas, and Boto3.
- Experience implementing automated testing and evaluation frameworks, including Ragas, Playwright, Selenium, and related quality assurance practices.
- Strong understanding of software development lifecycle (SDLC) practices, DevSecOps principles, Agile methodologies, and delivery tools such as JIRA, Confluence, and JIRA Align.
- Knowledge of LLM fine-tuning techniques, model evaluation, and AI performance optimization approaches.
- Experience working with business intelligence and analytics platforms such as QuickSight and Tableau.
- Knowledge of financial markets, investment management, or capital markets technology is considered a strong asset.
- Strategic thinker with the ability to translate business objectives into technology strategy and execution plans.
- Strong leadership and influencing skills, with the ability to build alignment across technical and business stakeholders.
- Exceptional problem-solving and analytical capabilities, with a focus on delivering practical and scalable solutions.
- Effective communicator with strong verbal, written, and presentation skills, capable of engaging audiences at all levels of the organization.
- Demonstrated ability to navigate ambiguity, drive innovation, and adapt to rapidly evolving technologies and business priorities.
- Collaborative and inclusive team player with a commitment to mentoring, knowledge sharing, and fostering engineering excellence.
- Results-oriented with a strong sense of ownership, accountability, and continuous improvement.
You are 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.
We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.
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