Senior AI Engineer

Job not on LinkedIn

🕒 September 17

🐊 Florida, New Jersey, +3 more states – Remote

🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote

💵 $106.6k - $260.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CVS Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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

• Build, lead, mentor, and develop a high-performing team of AI and software engineers • Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions • Serve as the senior technical leader for AI initiatives, providing architectural guidance and conducting design reviews • Partner with executive leadership to align AI investments, technology strategy, and delivery priorities with business objectives • Define and execute strategy for enterprise AI, Generative AI, Agentic AI, and intelligent automation initiatives • Lead end-to-end solution delivery across the software development lifecycle • Evaluate emerging AI technologies, platforms, and industry trends • Lead production support, incident response, and operational risk management for critical AI platforms and applications • Provide technical leadership for cloud-native AI platforms and applications across AWS, GCP, and enterprise ecosystems • Guide implementation of LLM and Generative AI solutions, RAG architectures, agentic AI platforms, serverless architectures, APIs, microservices, and AI observability frameworks • Establish reusable engineering patterns, frameworks, and platform accelerators • Ensure AI solutions align with Responsible AI principles, enterprise standards, security controls, and regulatory requirements • Partner with security, privacy, legal, compliance, and risk teams to establish AI governance frameworks • Promote model evaluation, explainability, auditability, data protection, and operational risk management best practices • Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and prioritize initiatives • Communicate complex technical concepts to executive leadership, technical teams, and business partners • Serve as a trusted advisor and thought leader on enterprise AI strategy and adoption

🎯 Requirements

• 7+ years of software engineering, platform engineering, machine learning, or AI engineering experience • 2+ years leading engineering teams or architecture initiatives at enterprise scale • Experience designing, building, and operating cloud-native applications on AWS and/or GCP • Experience delivering production AI solutions, including Generative AI, Agentic AI, and RAG platforms • Strong understanding of distributed systems, APIs, microservices, event-driven architectures, and modern software engineering practices • Experience partnering within a product operating model to define technology roadmaps and deliver business outcomes • Exceptional communication, mentorship, and technical leadership skills • Experience with Agile, Scrum, and/or SAFe delivery frameworks preferred • Health Care Industry experience preferred • Bachelor’s Degree in Computer Science or a related field, or equivalent experience • Experience with enterprise AI platforms such as AWS Bedrock, GCP Vertex AI, Azure AI, or equivalent • Experience with serverless, event-driven, microservices, and API-based cloud architectures • Experience with agentic AI frameworks, multi-agent systems, workflow orchestration, tool integration, reasoning, and autonomous task execution • Experience with enterprise RAG architectures, knowledge retrieval systems, vector search platforms, document ingestion pipelines, and enterprise data integration • Experience with vector databases such as OpenSearch, Pinecone, pgvector, FAISS, Milvus, or equivalent • Experience with model evaluation, fine-tuning, deployment, monitoring, observability, and optimization • Experience with AI platform scalability, governance, cost optimization, latency management, and operational excellence • Experience with Responsible AI governance, model documentation, risk management, validation, and auditability • Experience designing secure AI solutions aligned with healthcare, privacy, security, regulatory requirements, and HIPAA

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program • Award target in the company’s equity award program • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being