Senior AI Engineer

Job not on LinkedIn

🕒 Yesterday

🌾 Iowa, New York, +6 more states – Remote

🌾 Iowa – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote

💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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

• Design, develop, and deploy AI and Generative AI applications using cloud-native services and modern software engineering practices • Build and maintain AI-powered solutions using AWS Bedrock, GCP Vertex AI, large language models, and machine learning frameworks • Develop Retrieval-Augmented Generation systems involving document ingestion, vector search, embeddings, and retrieval pipelines • Create, test, and optimize prompts, workflows, and agentic AI solutions • Develop APIs, microservices, and event-driven integrations for scalable and secure AI capabilities • Collaborate with product owners, engineers, data teams, security teams, and business stakeholders to gather requirements and deliver AI capabilities • Write and execute test cases, debug, conduct code reviews, monitor production performance, and resolve issues • Participate in model evaluation, deployment, monitoring, and optimization to improve performance, accuracy, latency, scalability, and cost efficiency • Implement AI solutions meeting security, privacy, governance, Responsible AI, HIPAA, and enterprise data protection requirements • Create and maintain technical documentation, solution designs, architecture diagrams, implementation guides, and operational runbooks • Participate in Agile or SAFe planning, sprint activities, estimation, and continuous improvement • Evaluate AI technologies, frameworks, and cloud services and recommend improvements

🎯 Requirements

• 5+ years of software engineering, machine learning engineering, or AI engineering experience • 2+ years of experience building, deploying, or supporting AI/ML or Generative AI solutions in a production environment • Experience with AWS or GCP, including serverless services, APIs, event-driven architectures, or cloud-native application development • Proficiency in Python and experience developing scalable applications using modern software engineering practices • Experience with LLMs, prompt engineering, RAG architectures, vector databases, agentic workflows, or equivalent AI technologies • Problem solving and decision-making skills • Collaboration and teamwork skills • Growth mindset, agility, and developing yourself and others • Execution and delivery skills, including planning, delivering, and supporting • Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience) • Preferred: hands-on experience with AWS Bedrock, GCP Vertex AI, Azure OpenAI, or similar AI platforms • Preferred: experience building RAG solutions using OpenSearch, Pinecone, pgvector, FAISS, or similar technologies • Preferred: experience developing AI agents using Copilot Studio, Power Automate, LangChain, LangGraph, LlamaIndex, or similar frameworks • Preferred: experience developing cloud-native APIs, microservices, and event-driven architectures • Preferred: knowledge of Responsible AI, model evaluation, observability, LLM security, and governance practices • Preferred: Agile and/or SAFe experience in large enterprise environments • Preferred: AWS, GCP, Azure, AI, or Machine Learning certifications

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program in addition to base pay