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About the Role

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.

Responsibilities

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
Deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment
Solve problems associated with large scale complex, structured and unstructured data

Requirements

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
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

Skills

Python
Java
C#
JavaScript
SQL
APIs
Microservices
Agile software development methodologies
Accessibility standards (WCAG 2.1/2.2, WAI-ARIA)
Accessibility testing tools
Assistive technologies (screen readers, switch access, voice control)
Data pipelines (ETL/ELT)
AI/ML techniques
Anomaly detection
Classification
Pattern recognition
Natural language processing
Monitoring
Alerting
Observability solutions
Datadog
Splunk
Grafana
LLMs
Generative AI
Code analysis
Test generation
Developer tooling
Developer-facing tools
CLIs
Platform capabilities
Metrics definition
KPI frameworks
Data governance practices
GCP architecture
CI/CD pipelines
Git
Jenkins
Artifactory
SAFe
Agile

Work Type

Full time

Experience Level

Senior
3+ years of experience
1+ year(s) of experience

Education Level

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

Salary/Compensations

$101,970.00 - $203,940.00

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Retirement savings options
Wellness programs

About the Company

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.
At CVS Health, we are driven by a vision to redefine healthcare in America by placing people at the forefront of our efforts.
Our journey calls for technical innovators and data visionaries: come help us pave the way.
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.
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.

Equal Opportunity

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