Position SummaryDesigns, develops, and implements Artificial Intelligence (AI) and Generative AI solutions across the affiliate line of business by applying advanced software engineering and machine learning expertise. Builds, deploys, and supports scalable AI applications, cloud-native services, and intelligent automation solutions while collaborating with cross-functional teams to deliver business value in a secure and responsible manner. Leverages technologies such as AWS Bedrock, GCP Vertex AI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, and cloud-native architectures to solve complex business challenges.
What you will do- 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.
Required Qualifications- 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.
Preferred Qualifications- 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.
EducationBachelor's degree, or equivalent experience (HS diploma + 4 years relevant experience)
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$83,430.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 09/26/2026
