Senior AI Engineer

Role Description

You will design, build, and operate production-grade Generative AI solutions that power our products and analytical solutions. You will work across data, models, and applications to deliver reliable AI workflows, integrating large language models with modern data and analytics environments. You will own initiatives end-to-end, including architecture, experimentation, deployment, monitoring, and continuous improvement.

Impact You Will Have in This Role

• Shape how we apply Generative AI to high-value business problems.
• Build systems that measurably improve customer experience, operational efficiency, and decision quality.
• Raise the quality bar for production AI by setting standards for design, safety, evaluation, and operational readiness.
• Mentor other engineers and partner with product, data science, and business stakeholders.
• Translate ambiguity into scalable AI capabilities across multiple products and use cases.

What You’ll Be Doing in This Role

• Lead the design and implementation of Generative AI services and Agentic workflows.
• Integrate LLMs into applications using modern frameworks, working with APIs or internal model endpoints.
• Implement telemetry, observability, fallbacks, and cost/latency controls.
• Work across data environments to ingest, transform, and serve data for AI use cases.
• Design practical schemas and retrieval strategies that generalize across environments.
• Design and run experiments to compare prompts, models, and configurations.
• Build evaluation flows to measure relevance, safety, robustness, and business impact.
• Collaborate with product, data science, design, and domain experts to clarify requirements.
• Break down initiatives into technical plans and deliver roadmap commitments.
• Contribute to and lead code reviews, architecture discussions, and documentation.
• Monitor AI systems in production and participate in incident response.
• Drive systemic improvements to quality, safety, reliability, and performance.
• Partner with security, legal, and compliance to ensure data privacy and responsible AI practices.

Qualifications

• Degree in Computer Science, Data Science, Software Engineering or related field.
• At least 8 years of professional experience with a Bachelor’s degree or 6 years with a Graduate degree.
• 1-year experience in Generative AI technologies or 1-2 relevant certifications.
• Logical, practical, and innovative problem-solving skills.
• Strong customer-facing communication skills.
• Shipped and operated LLM-enabled features in production.
• Working knowledge of Generative AI quality and safety practices.
• Experience building data-intensive systems end-to-end.
• Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines.
• Strong Python and SQL skills; experience integrating services via APIs.
• TypeScript or other strongly typed language experience is a plus.
• Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry).
• Ownership mindset with high standards for production readiness and customer outcomes.
• Automotive domain knowledge is a plus, not required.
• Able to travel as needed for customer and internal collaboration.

Benefits

• Starting salary range of $120K - $135K CAD / $150K - $165K USD per year.

Company Description

Our mission in the market we serve is clear: to power every auto-related decision through proprietary data, advanced analytics, deep industry expertise, and seamless workflows that connect insight to action.

• We POWER Our Customer's Success.
• We are Innovative, Collaborative and Grounded in Data.
• We Make Things Easy.
• We Get It Done.
• We Start with Trust & Prove it Everyday.