AI Engineer | J.D. Power

Ziphire.hr • Chicago, IL

7h • $120,000 - $145,000

About The Position

J.D. Power is seeking a talented AI Engineer to join our dynamic technology team, playing a pivotal role in shaping the future of data-driven insights within the automotive industry. In this position, you will leverage advanced artificial intelligence and machine learning technologies to enhance our analytical capabilities, driving impactful decision-making for our clients. Your contributions will be essential in maintaining our reputation as a leader in delivering valuable consumer insights and market intelligence.
As an AI Engineer, your primary responsibilities will include designing and implementing machine learning models, developing algorithms, and optimizing data processing workflows. You will collaborate closely with cross-functional teams to understand business needs and translate them into scalable AI solutions. Additionally, you will be tasked with evaluating and integrating new technologies, ensuring our systems remain at the forefront of innovation while delivering robust and reliable results.
The ideal candidate will possess a degree in Computer Science, Engineering, or a related field, along with a proven track record in AI or machine learning. Proficiency in programming languages such as Python or R, and experience with frameworks like TensorFlow or PyTorch are essential. A strong analytical mindset, coupled with excellent problem-solving skills and the ability to work collaboratively, will set you apart in this role.
This is an exciting opportunity to make a significant impact in a growing field, where your work will directly influence the strategic direction of leading global brands. At J.D. Power, you will not only be part of a forward-thinking team but also have access to continuous learning and professional development, ensuring you remain at the cutting edge of AI technology in the automotive sector. Join us in redefining industry standards through innovation and excellence.

Requirements

• Degree in Computer Science, Data Science, Software Engineering or related field.
• At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree
• 1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications.
• Logical, practical, and innovative problem-solving skills. Can turn ambiguity into architecture, milestones, and explicit tradeoffs.
• Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences.
• Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration.
• 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 for analytics and AI.
• Strong Python and SQL. Experience integrating services via APIs. TypeScript or other strongly typed language experience is a plus. The ability to learn new tools quickly is required.
• Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry) and the ability to quickly adapt patterns across other environments.
• Ownership mindset with high standards for production readiness and customer outcomes.
• Able to travel as needed for customer and internal collaboration .

Nice To Haves

• Automotive domain knowledge is a plus, not required.

Responsibilities

• Lead the design and implementation of Generative AI services and Agentic workflows that support multiple product features or teams.
• 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, designing 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, documentation, and shared templates/libraries that improve velocity and consistency.
• Monitor AI systems in production, participate in incident response, and drive systemic improvements to quality, safety, reliability, and performance.
• Partner with security, legal, and compliance to ensure data privacy, responsible AI practices, and regulatory alignment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level