Build and deploy AI for healthcare with Cognizant in a remote role based in Pleasanton, CA. This position focuses on designing advanced, compliant AI systems for healthcare and healthcare insurance functions, including Risk Adjustment, Revenue Cycle Management, and clinical intelligence. You will work primarily during Pacific Time Zone business hours.
As an AI Engineer, you will leverage RAG and LLM-based technologies to deliver semantic search, knowledge retrieval, and scalable AI pipelines that can handle large volumes of healthcare data and unstructured content.
Responsibilities
- Design, develop, and deploy AI-driven solutions using Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies.
- Build scalable clinical document search and knowledge retrieval platforms for large-scale healthcare data and unstructured content.
- Develop and optimize AI pipelines for document indexing, semantic search, data enrichment, classification, and healthcare analytics use cases.
- Collaborate with product, business, and clinical stakeholders to translate requirements into secure, scalable, and compliant AI solutions.
- Drive continuous improvement across model performance, data quality, automation, observability, and operational excellence.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong experience designing and implementing AI solutions with RAG frameworks and vector databases.
- Hands-on experience building enterprise AI applications involving semantic search, knowledge retrieval, document intelligence, and LLMs.
- Experience with data preprocessing, data quality management, data sanitation, and annotation/labeling workflows.
- Proven ability to optimize performance, scalability, and reliability of large-scale AI systems and applications.
- Experience designing and supporting AI-powered document search handling high-volume datasets and unstructured content.
- Knowledge of cloud-based AI and machine learning solutions, preferably Microsoft Azure.
- Understanding of healthcare data, healthcare insurance operations, and AI governance best practices.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Experience supporting Risk Adjustment, Revenue Cycle Management (RCM), claims analytics, or healthcare payer operations.
- Familiarity with healthcare compliance standards such as HIPAA, ICD coding, and healthcare data privacy requirements.
- Experience with Azure AI services, Azure OpenAI, Azure Machine Learning, or related cloud-native AI platforms.
- Knowledge of vector database technologies, semantic search architectures, and enterprise knowledge management solutions.
- Experience designing user interfaces, dashboards, and AI-driven business applications.
- Experience developing generative AI solutions in highly regulated healthcare environments.
Technologies
- Retrieval-Augmented Generation (RAG)
- Large language models (LLMs)
- Vector database technologies
- Microsoft Azure
- Azure AI services, Azure OpenAI, Azure Machine Learning
- HIPAA, ICD coding
Benefits
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Salary and application details
Annual salary: USD 100,000 - 145,000 depending on experience and other qualifications.
Eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Applications accepted until August 21, 2026.
Disclaimer: Salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
