As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation. You will identify the right AI approaches for each problem and implement them on the C3 AI Platform so they run reliably at enterprise scale.

Qualified candidates will have deep knowledge of modern AI and ML techniques — including large language models, agentic systems, and classical statistical methods — along with a clear understanding of their limitations and how to adapt them to large-scale production environments. Some travel is expected.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

Responsibilities:

• Lead the research, design, implementation, and deployment of AI models, agentic solutions, and optimization algorithms for enterprise applications on the C3 AI Platform.
• Partner with C3 AI customers to build and scale their own AI applications on the Platform.
• Contribute to the design and implementation of new AI capabilities within the C3 AI Platform.
• Analyze model performance across enterprise deployments, diagnose issues such as poor recall or false positive rates, and recommend targeted improvements.
• Collaborate with data engineers and subject matter experts from C3 AI and customer teams to source, validate, and correctly leverage new data assets.

Qualifications:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related field.
• Hands-on AI experience spanning generative AI, agentic systems, supervised and unsupervised learning, and classical regression and classification.
• Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
• Experience building and deploying models at scale in distributed or cloud-native environments.
• Ability to drive projects independently and collaborate effectively across technical and non-technical teams.
• Sharp, motivated, and focused on making a real impact.
• Excellent verbal and written communication skills.

Preferred Qualifications:

• Proficiency in Python; experience with JavaScript, Java, or Scala is a plus.
• Familiarity with LLM frameworks (e.g., LangChain, LlamaIndex), vector databases, or RAG architectures.
• A portfolio of AI projects (GitHub, publications, or open-source contributions) is a plus.