AI Engineer | J.D. Power

Descrição da Vaga

Requisitos

• 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
• 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
• 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
• 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

Responsabilidades

• 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
• 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
• 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

Benefícios