Note: The job is a remote job and is open to candidates in USA. CVS Health is a healthcare company focused on simplifying health care for individuals, families, and communities. The Senior AI Engineer designs, develops, deploys, and supports scalable AI and Generative AI solutions, cloud-native services, and intelligent automation while collaborating with cross-functional teams and ensuring security, privacy, governance, and Responsible AI compliance.
Responsibilities
- Designs, develops, and deploys AI and Generative AI applications using cloud-native services and modern software engineering practices
- Builds and maintains AI-powered solutions utilizing technologies such as AWS Bedrock, GCP Vertex AI, large language models (LLMs), and machine learning frameworks
- Develops Retrieval-Augmented Generation (RAG) systems, including document ingestion, vector search, embeddings, and retrieval pipelines to integrate enterprise knowledge into AI applications
- Creates, tests, and optimizes prompts, workflows, and agentic AI solutions using technologies such as Bedrock Agents, Vertex AI Agent Builder, LangChain, LangGraph, LlamaIndex, or similar frameworks
- Develops APIs, microservices, and event-driven integrations that enable scalable and secure AI capabilities across enterprise platforms
- Collaborates with product owners, engineers, data teams, security teams, and business stakeholders to gather requirements, recommend solutions, and deliver AI capabilities that meet business objectives
- Writes and executes comprehensive test cases, performs debugging, conducts code reviews, monitors production performance, and resolves issues to ensure reliability and quality
- Participates in model evaluation, deployment, monitoring, and optimization activities to improve performance, accuracy, latency, scalability, and cost efficiency
- Implements AI solutions in compliance with security, privacy, governance, and Responsible AI standards, including HIPAA and enterprise data protection requirements
- Creates and maintains technical documentation, including solution designs, architecture diagrams, implementation guides, and operational runbooks while sharing knowledge with team members
- Contributes to Agile or SAFe delivery teams by participating in planning sessions, sprint activities, estimation, and continuous improvement initiatives
- Evaluates new AI technologies, frameworks, and cloud services and recommends opportunities to improve existing solutions and engineering practices
Skills
- 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 cloud platforms such as 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
- Adept at problem solving and decision-making skills
- Adept at collaboration and teamwork
- Adept at growth mindset (agility and developing yourself and others) skills
- Adept at execution and delivery (planning, delivering, and supporting) skills
- Bachelor's degree, or equivalent experience (HS diploma + 4 years relevant experience)
- Hands-on experience with AWS Bedrock, GCP Vertex AI, Azure OpenAI, or similar AI platforms
- Experience building RAG solutions using vector databases such as OpenSearch, Pinecone, pgvector, FAISS, or similar technologies
- Experience developing AI agents using Copilot Studio, Power Automate, LangChain, LangGraph, LlamaIndex, or similar frameworks
- Experience developing cloud-native APIs, microservices, and event-driven architectures
- Knowledge of Responsible AI, model evaluation, observability, LLM security, and governance practices
- Agile and/or SAFe experience in large enterprise environments
- AWS, GCP, Azure, AI, or Machine Learning certifications preferred
Benefits
- CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above
- Remote work arrangement
- Medical coverage, based on eligibility
- Dental coverage, based on eligibility
- Vision coverage, based on eligibility
- Paid time off, based on eligibility
- Retirement savings options, based on eligibility
- Wellness programs, based on eligibility
- Other resources supporting the physical, emotional, and financial well-being of colleagues and their families, based on eligibility
Company Overview
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