Job description

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI 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. Data Scientists are expected to work on-site with our customers four days per week. 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, Operations Research, 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. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $136,000 — $183,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Requirements

Must-haves

Note: This is a client-facing position. Data Scientists are expected to work on-site with our customers four days per week.
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.
MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, 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.

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlpythonjavascriptjavallm

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