- Company Name
- CPP Investments | Investissements RPC
- Job Title
- Principal Engineer, AI & Emerging Tech
- Job Description
-
**Job Title:**
Principal Engineer, AI & Emerging Tech
**Role Summary:**
Lead the design, development, and deployment of enterprise‑wide AI solutions, combining deep technical expertise with strategic leadership to align AI initiatives with business objectives. Ensure responsible AI practices, scalable architecture, and operational readiness for Generative AI products.
**Expectations:**
- 8+ years progressive engineering experience, with 2–3+ years directing AI or emerging tech programs.
- Proven track record in delivering production AI systems, mentored engineering teams, and influenced technical strategy.
- Strong communication across technical and business stakeholders, and ability to frame AI solutions in business terms.
**Key Responsibilities:**
- Architect and oversee end‑to‑end technical solutions for complex AI projects, including pilots and full‑scale deployments.
- Define high‑level solution designs that integrate emerging technologies (Gen AI, LLMs, RAG, agentic AI) with enterprise capabilities.
- Drive architecture decisions for scalability, performance, security, and compliance of AI models and systems.
- Mentor and grow engineering teams, establishing best practices in software and AI development.
- Introduce reusable patterns, components, and patterns to mature engineering practices.
- Conduct risk assessments, implement mitigation strategies, and promote responsible AI (bias, fairness, explainability, regulatory compliance).
- Evaluate and integrate new AI frameworks, tools, and cloud services (e.g., LangChain, Amazon Bedrock, Next.js, React, TypeScript).
- Lead technical communication with senior stakeholders, ensuring transparency and alignment with organizational goals.
- Collaborate cross‑functionally with Data Science, Cybersecurity, Product, and Operations to align AI initiatives with business strategy.
- Participate in project reviews, recommending improvements in architecture, delivery, and process.
**Required Skills:**
- Generative AI: GPT‑4o, Claude, LLaMA, prompt engineering, agentic AI, MCP, Graph/RAG.
- AI frameworks: LangChain, LlamaIndex, Amazon Bedrock.
- Web tech: Next.js, React, TypeScript/JavaScript.
- Cloud platforms: AWS (EKS, Fargate, Lambda, Athena, Glue, Lake Formation).
- Infrastructure as Code: Terraform, Puppet, Docker.
- ETL orchestration: Apache Airflow/DAGs.
- Vector/Graph databases: Weaviate, Milvus, PGVector, Neo4j, Neptune.
- Data & ML tooling: Python (NumPy, Pandas, Matplotlib, Boto3), automated testing (Ragas, Playwright, Zephyr, Selenium).
- SDLC & DevSecOps: Agile (Scrum/Kanban), SDLC best practices, CI/CD, JIRA, Confluence, JIRA Align.
**Required Education & Certifications:**
- Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or certifications in AI/ML, cloud, or data engineering are an asset).
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