Staff Software Development Engineer – AI Engineer, Frontend

CVS Health; Richardson (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

CVS Health is seeking a Staff Engineer in Richardson, Texas, to lead the development of next-generation conversational AI experiences using AI systems. This role requires guiding architecture and development for the Platform Chat product, collaborating closely with data science and engineering teams.

Key responsibilities include designing scalable AI systems, developing workflows, and integrating various APIs. The ideal candidate will have a strong technical background in AI/ML systems and proven hands-on experience with LLMs.

Qualifications

• Experience building production AI/ML systems.
• Knowledge of LLM frameworks like OpenAI and Claude.
• Ability to drive architecture and coding standards.

Responsibilities

• Design and build scalable, real-time chat systems.
• Develop agent frameworks and workflow automation.
• Integrate LLM APIs and enterprise tools.
• Drive architecture and best practices.
• Build systems for observability and safety.

Skills

Production AI/ML systems experience

Hands-on experience with LLMs

Scalable distributed systems

Collaboration across teams

Job description

About the Role:

We are on a mission to simplify and enable digital experiences for millions of users through our AI-powered platform products. We are looking for a Staff Engineer to help build next-generation conversational AI experiences using agentic AI systems.

This role requires a strong technical leader with hands‑on experience building production AI/ML systems, especially working with LLMs (OpenAI, Claude), agent frameworks, and scalable distributed systems.

You will lead the architecture and development of our Platform Chat product, enabling AI agents to collaborate, reason, and execute multi-step workflows. This role is highly hands‑on (about 75%) and involves close collaboration with product, data science, and engineering teams.

Key Responsibilities:

• Design and build scalable, real‑time chat and multi‑agent AI systems
• Develop agent frameworks, orchestration layers, and workflow automation
• Integrate LLM APIs and enterprise tools
• Drive architecture, coding standards, and best practices
• Build systems for observability, safety, and performance monitoring