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 SummaryThis role leads the architecture and delivery of advanced data and AI solutions, specializing in Google Cloud Platform data pipelines, MCP server setup, and agentic AI. The engineer is responsible for technical vision, hands-on implementation, and embedding AI into engineering best practices. Key Responsibilities:
- Google Cloud Platform Data Pipeline Engineering:
Architect, design, and implement robust, scalable data pipelines on Google Cloud Platform using services such as BigQuery, Dataflow, Pub/Sub, and Vertex AI. Ensure data pipelines are optimized for performance, reliability, and security.
- MCP Server Setup & Integration:
Lead the setup and configuration of MCP (Model Context Protocol or Manage, Control, and Plan) servers to standardize how AI systems access tools, data, and context. Ensure MCP servers provide a universal protocol for AI agents, enabling modularity and ease of integration with new models and tools. Implement best practices for database interaction, image management, access controls, and automation integration with orchestration frameworks.
Integrate agentic AI and automation frameworks into data pipelines and engineering workflows. Enable autonomous, intelligent data processing and analytics by leveraging LLMs and agentic orchestration.
- Engineering Best Practices for Incorporating AI:
AI-Driven Code Quality & Automation: Leverage AI-powered tools for code generation, code review, and automated testing to improve code quality and accelerate development cycles. Integrate AI agents into CI/CD pipelines for intelligent build, test, and deployment orchestration. Use MCP servers to standardize access to codebases, data, and documentation, enabling modular and reusable AI integrations.
Data Governance & Security: Implement robust data governance policies, including data lineage, access controls, and audit trails for all AI-driven data pipelines. Ensure all AI models and data flows comply with enterprise security standards and privacy regulations. Use MCP server features for secure, auditable, and policy-driven access to data and tools.
Responsible & Ethical AI: Apply organizational AI governance frameworks to ensure fairness, transparency, and explainability in all AI-powered solutions. Conduct regular fairness assessments and bias detection for AI models, leveraging available toolkits and governance processes. Document AI decision logic and maintain traceability for all automated actions.
Operational Excellence & Monitoring: Implement telemetry and monitoring for all AI and data pipeline components, including model performance, data freshness, and system health. Use automated alerting and self-healing mechanisms where possible, leveraging AI for anomaly detection and root cause analysis. Continuously evaluate and optimize AI models and pipelines for efficiency and reliability. Collaboration &
Knowledge Sharing: Actively participate in the AI engineering community of practice to share best practices, lessons learned, and reusable assets. Mentor team members on AI integration patterns, responsible AI use, and advanced Google Cloud Platform/MCP techniques. Maintain comprehensive documentation for all AI integrations, including architecture diagrams, data flows, and operational runbooks.
- Technical Leadership & Collaboration:
Mentor and coach engineers at all levels, foster a culture of innovation and continuous learning, and collaborate with cross-functional stakeholders to align technical solutions with strategic business goals.
Required Skills & Qualifications:
- 7+ years of experience in software engineering, with significant experience in cloud-native data pipeline development and AI/ML.
- Advanced expertise in Google Cloud Platform services, infrastructure, and automation.
- Hands-on experience with MCP server setup, database automation, and agentic AI/automation frameworks.
- Strong programming skills (e.g., Python, Java) and proficiency with CI/CD, automation scripting, and containerization.
- Proven track record of technical leadership, mentoring, and delivering complex, enterprise-scale projects.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications- Demonstrated experience of building out agentic AI solutions and deploying them successfully
- Deep understanding of AI governance, responsible AI principles, and best practices for integrating AI into engineering workflows.
Education4 year college degree ; Masters a plus
Pay RangeThe typical pay range for this role is:
$106,605.00 - $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.
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 peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
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We anticipate the application window for this opening will close on: 04/01/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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