[Remote] Staff Software Engineer - GCP AI & Data Pipelines

Note: The job is a remote job and is open to candidates in USA. CVS 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. 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 Skills • 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 • 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 Overview • CVS Health is a health solutions company that provides an integrated healthcare services to its members. It was founded in 1963, and is headquartered in Woonsocket, Rhode Island, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship • CVS Health has a track record of offering H1B sponsorships, with 1 in 2022. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job