Position SummaryWe are seeking a hands-on Staff AI Development Engineer to join a high-energy team driving AI transformation across our product platform. This role will be involved throughout the entire software development lifecycle, designing and building AI-powered capabilities that enable engineering teams to develop, deploy, and operate agentic AI applications at scale.
The role spans the full stack, including agent orchestration, backend services, APIs, and cloud-native infrastructure. You will leverage technologies such as Python, Java, LangGraph, and modern AI frameworks to build scalable, production-grade solutions. Success in this role requires strong technical leadership, excellent engineering fundamentals, and the ability to identify and mitigate risks before deployment.
The ideal candidate brings deep full-stack expertise, a proven track record of technical leadership and mentorship, and practical experience building and operating agentic AI solutions in production environments.
Required Qualifications- 8+ years of software engineering experience with demonstrated full-stack ownership and delivery of scalable, production-grade applications.
- Proven experience designing, building, and operating agentic AI applications in production, including LLM-powered and agent-based solutions serving real users and workloads.
- Hands-on experience with LangGraph and advanced agent orchestration patterns, including multi-step planning, sub-agent coordination, shared-state architectures, long-running workflows, human-in-the-loop processes, and debugging production agent systems.
- Strong software engineering expertise in Python, Java, and modern backend development, including designing and building scalable APIs and cloud-native services.
- Experience developing AI-powered user experiences, including Conversational AI, IVR systems, and generative UI applications.
- Demonstrated technical leadership through architecture and design reviews, mentoring engineers, resolving complex production issues, and building reusable platform capabilities leveraged across multiple engineering teams.
Preferred Qualifications- Expertise in prompt engineering, LLM evaluation frameworks, AI observability, and LLM security best practices.
- Experience with LLM fine-tuning, model optimization, performance tuning, and evaluation methodologies to improve AI system quality and reliability.
- Proven ability to define and implement best practices for AI governance, reliability, operational excellence, and production readiness.
- Strong background in platform engineering, observability, and distributed systems, including monitoring, distributed tracing, troubleshooting, incident response, and operational support.
- Experience creating and maintaining architectural designs, technical design documents, runbooks, and technical briefs for complex engineering initiatives.
- Experience working within Agile and SAFe methodologies in large-scale enterprise environments.
Education- Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent experience (High School diploma plus 4 years relevant work experience).
Pay RangeThe typical pay range for this role is:
$118,450.00 - $236,900.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/19/2026
