AI Engineer
About the role
As an AI Engineer, you will make an impact by designing and delivering advanced AI solutions that improve operational efficiency, accuracy, and decision-making across healthcare and healthcare insurance functions. You will be a valued member of the AI & Analytics team and work collaboratively with data scientists, healthcare domain experts, product teams, and technology stakeholders to build innovative AI-powered solutions supporting Risk Adjustment, Revenue Cycle Management, and clinical intelligence initiatives.
In this role, you will:
- Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies.
- Build scalable clinical document search and knowledge retrieval platforms capable of processing and analyzing large volumes of 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 business requirements into secure, scalable, and compliant AI solutions.
- Drive continuous improvement in AI model performance, data quality, automation, observability, and operational excellence.
Work model
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. This role requires candidates to work primarily within the Pacific Time Zone business hours to effectively support client, business, and delivery team collaboration. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
- Strong experience designing and implementing AI solutions using Retrieval-Augmented Generation (RAG) frameworks and vector databases.
- Hands-on experience building enterprise AI applications involving semantic search, knowledge retrieval, document intelligence, and large language models.
- Experience with data preprocessing, data quality management, data sanitation, annotation, and labeling workflows.
- Proven experience optimizing performance, scalability, and reliability of large-scale AI systems and applications.
- Experience designing and supporting AI-powered document search solutions capable of handling high-volume datasets and unstructured content.
- Knowledge of cloud-based AI and machine learning solutions, preferably within Microsoft Azure environments.
- Understanding of healthcare data, healthcare insurance operations, and AI governance best practices.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
These will help you stand out
- 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 within highly regulated healthcare environments.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until August 21.2026.
The annual salary for this position is between $100,000- $145,000 USD depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- 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
Disclaimer: The 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.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
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