Lead Director, AI/ML Solutions Engineering – Delivery

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🕒 April 18

🦌 Connecticut – Remote

🦌 Connecticut – Remote

💵 $144.2k - $288.4k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Define and operationalize engineering standards for AI/ML-native applications, including secure-by-design patterns, dependency management, testing strategies, and documentation. • Lead architecture and design reviews for high-impact initiatives; identify risks across security, privacy, resiliency, data quality, cost, and compliance, and drive mitigation plans. • Design and evolve agentic AI systems that support real-time and batch workloads, high-throughput inference, low-latency APIs, and multi-tenant enterprise usage. • Drive platform-level architecture decisions across multi-cloud and on-prem environments, including GPU/accelerator strategy, Kubernetes orchestration, networking, storage, and identity. • Partner with intake, governance, product, operations, security, and engineering stakeholders to shape proposals and business cases; translate objectives into executable technical roadmaps.

🎯 Requirements

• 10+ years of progressive software engineering experience, including enterprise platforms and distributed systems. • 5+ years delivering AI/ML-enabled systems (including GenAI and Agentic AI) to production with strong reliability, security, and governance. • 10+ years of experience with IT operations, cybersecurity standards, and best operational practices. • 5+ years designing scalable, resilient AI solutions, including APIs, event-driven systems, data pipelines, and multi-tenant architectures. • 5+ years building AI-enabled applications using LLMs, RAG, embeddings, vector stores, and tool/function calling, including designing evaluation frameworks and safety guardrails.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • retirement savings options • wellness programs • other resources, based on eligibility