CVS Health is looking to transform how its business interacts with data by building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems.
Requirements
- 3+ years of experience in advanced analytics, decision science, applied AI/ML
- Strong programming skills in Python and SQL, with experience deploying AI systems in cloud environments (GCP, AWS, or Azure).
- Deep expertise in at least one area of advanced modeling: predictive analytics, reinforcement learning, NLP, or causal inference.
- Proven ability to translate complex AI concepts into business impact, including stakeholder alignment and business value sizing.
- Experience leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption.
- Hands-on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG).
- Experience implementing agentic AI systems for conversational analytics, autonomous reporting, or decision support.
Responsibilities
- building and scaling agentic AI frameworks, conversational analytics, and decision intelligence systems
- design and execute a customer-centric analytics strategy powered by AI agents, LLMs, and generative AI
- contribute to the vision, strategy, and own the execution of AI-driven decision systems
- deploying AI systems in cloud environments (GCP, AWS, or Azure)
- translate complex AI concepts into business impact
- leading end-to-end AI-driven solution delivery: from data foundation to model orchestration to front-end adoption
- Hands-on experience with LLMs, generative AI, or conversational AI frameworks (e.g., LangChain, RAG)
Other
- Strong communication, storytelling, and customer engagement skills, with a passion for building solutions that are intuitive and impactful.
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.
- Master’s degree or PhD preferred
- 40 hours per week
- Full time