Senior AI Solutions Engineer, Accessibility

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

If you're eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.

At CVS Health, we are driven by a vision to redefine healthcare in America by placing people at the forefront of our efforts. We're seeking a motivated software engineer who shares our commitment to engineering excellence and innovation. As part of our team, you'll have the opportunity to contribute to advancing and modernizing technologies that shape the future of healthcare.

As a Senior AI Solutions Engineer at CVS Health, you'll play a crucial role in building and delivering high-quality software that enhances customer experiences. You'll be involved in all phases of software engineering, from requirements analysis to deployment, while adhering to agile software development methodologies. Collaboration is key, as you'll work closely with cross-functional teams to deliver integrated solutions that meet the evolving needs of our business.

As a Sr. AI Solutions Engineer, you will:

• Design and develop AI-powered accessibility automation and monitoring solutions that measure conformance and surface regressions across the software lifecycle
• Build and maintain data pipelines that bridge accessibility signals across CI/CD, component libraries, production telemetry, and assistive technology usage into unified, actionable views
• Develop models and pattern-detection capabilities that identify accessibility regressions, coverage gaps, and adoption drift before they reach end users
• Collaborate with Accessibility Engineering leadership to define and operationalize key metrics that quantify accessibility maturity across delivery teams
• Develop dashboards, reports, and automated notifications that give engineering teams and leadership visibility into accessibility health across the product portfolio

As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.

Required Qualifications

• 3+ years of experience with designing and building software engineering solutions in cloud environments (preferably Google Cloud Platform)
• 3+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
• 3+ years of experience with APIs, microservices, and modern software patterns
• 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
• 1+ year(s) of experience independently managing deliverables

Preferred Qualifications

• Experience with accessibility standards (WCAG 2.1/2.2, WAI-ARIA) and accessibility testing tools, and how they produce measurable conformance signals
• Knowledge of assistive technologies (screen readers, switch access, voice control) and how their interaction patterns can be instrumented or inferred
• Experience designing and building data pipelines (ETL/ELT) that integrate signals from multiple sources into unified reporting or analytics platforms
• Familiarity with AI/ML techniques applicable to software quality — anomaly detection, classification, pattern recognition, or natural language processing applied to accessibility findings
• Experience building monitoring, alerting, or observability solutions using platforms such as Datadog, Splunk, Grafana, or similar
• Experience with LLMs or generative AI applied to code analysis, test generation, or developer tooling
• Experience building developer-facing tools, CLIs, or platform capabilities that improve engineering workflows
• Background in metrics definition, KPI frameworks, or data governance practices
• Familiarity with GCP architecture and experience designing and optimizing software and data engineering patterns
• Working experience with CI/CD pipelines, Git, and related tooling (Jenkins, Artifactory, etc.)
• Formal SAFe and/or agile experience; previous healthcare experience and domain knowledge a plus

Education

Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master's Degree preferred.

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

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. 
 

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We 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: 08/04/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.