CVS Health · 4 hours ago
Staff Software Engineer - GCP AI & Data Pipelines
United States
Full-time
Remote
Senior Level, Lead/Staff
$107K/yr - $237K/yr
7+ years expCVS Health is building a world of health around every individual, aiming to simplify health care. The Staff Software Engineer will lead the architecture and delivery of advanced data and AI solutions, specializing in GCP data pipelines and agentic AI integration, while mentoring engineers and ensuring best practices in AI development.
Health CareMedicalPharmaceuticalRetailSales
Responsibilities
Architect, design, and implement robust, scalable data pipelines on GCP using services such as BigQuery, Dataflow, Pub/Sub, and Vertex AI. Ensure data pipelines are optimized for performance, reliability, and security
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
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
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
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
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
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 GCP/MCP techniques. Maintain comprehensive documentation for all AI integrations, including architecture diagrams, data flows, and operational runbooks
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
Qualification
Required
7+ years of experience in software engineering, with significant experience in cloud-native data pipeline development and AI/ML
Advanced expertise in GCP 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
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
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
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
Company
CVS Health
CVS Health is a health solutions company that provides an integrated healthcare services to its members.
10001+ employees
H1B Sponsorship
CVS Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Public CompanyTotal Funding
$4BKey Investors
Michigan Economic Development CorporationStarboard Value
2025-08-15Post Ipo Debt· $4B
2025-07-17Grant· $1.5M
2019-11-25Post Ipo Equity
Leadership Team
David Joyner
President and Chief Executive Officer, CVS Health
Chandra McMahon
SVP & CISO
Recent News
2026-01-25
Company data provided by crunchbase