At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

POSITION SUMMARY

We’re seeking a Staff Software AI Engineer to build our next generation of GenAI solutions and autonomous agent systems. In this role, you’ll contribute to our technical vision for large language model applications and will work with teams in implementing production-grade AI systems. You will be focusing on retrieval-augmented generation (RAG) architectures, agentic systems, and custom LLM implementations. You’ll work closely with product teams to translate complex business requirements into scalable AI solutions, leveraging Azure’s AI services, LangChain, vector databases, and cloud-native infrastructure. Your expertise in both open-source and commercial LLMs (including Azure OpenAI deployments) will be crucial in making strategic technology choices that balance innovation with practicality. You will define and implement architectures that bring large language models (LLMs) and agentic systems to life, delivering tangible business outcomes while pushing the boundaries of AI innovation.
The ideal candidate brings deep expertise in production ML systems, with demonstrated experience scaling AI applications in Azure cloud environments. You should have a strong background in Python development, modern ML frameworks (PyTorch/TensorFlow), and distributed systems

REQUIRED QUALIFICATIONS

• Lead the architecture and implementation of autonomous AI agents and multi-agent systems, including the development of specialized agents for task automation and business process optimization
• Design and implement enterprise-scale RAG systems integrated with Azure Cognitive Search and custom knowledge bases, ensuring high performance and accuracy
• Drive the adoption of best practices for GenAI development, including prompt engineering, model evaluation, and responsible AI guidelines
• Architect and oversee the deployment of production AI systems using Azure’s ML infrastructure, including monitoring, logging, and performance optimization
• Foster a culture of technical excellence by mentoring engineering teams, providing hands-on guidance during system design and development, and establishing frameworks for peer code reviews and best practices in AI deployment while contributing to our AI Center of Excellence
• Collaborate with product managers, data scientists, and domain experts to translate business challenges into scalable AI-powered solutions, ensuring smooth integration across diverse systems.
• Experience with autonomous agents
• RAG implementations
• Vector databases (FAISS, Pinecone)
• Containerized deployments using Docker and Kubernetes are all crucial for this role.

PREFERRED QUALIFICATIONS

• Deep expertise in production ML systems, with demonstrated experience scaling AI applications in Azure cloud environments.
• You should have a strong background in Python development, modern ML frameworks (PyTorch/TensorFlow), and distributed systems.

EDUCATION

• Bachelor’s degree in Computer Science or related eld, or equivalent work experience.

Please refer the Job description for details