The Cigna Group

<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><body><p>  <b>This position will:</b></p><ul><li>Develop, integrate, and deploy Gen AI/Agentic AI solutions leveraging AWS for data engineering and Azure OpenAI for LLM-based applications</li><li>Translate business and technical requirements into robust, scalable, and maintainable code</li><li>Collaborate closely with architects, data engineers, and data scientists to deliver high-quality solutions</li><li>Maintain high standards for code quality, documentation, and testing</li><li>Continuously learn and apply new tools and techniques in AI/ML and cloud development</li><li>Support troubleshooting, optimization, and enhancement of existing AI solutions</li><li>Work collaboratively with ServiceNow and Workday teams to ensure AI components integrate smoothly with the virtual assistant and HR workflows</li><li></li></ul><div><p><b>Responsibilities:</b></p><p/><p/></div><p>Understand and respect the boundaries of responsibility, providing technical support for integrations without direct development on ServiceNow or Workday< >Implement Gen AI/Agentic AI use cases for the HR functionDevelop and maintain data pipelines on AWS for ingestion, transformation, and storage of structured and unstructured HR dataIntegrate Azure OpenAI LLMs with AWS-based data sources and HR applications, ensuring secure and efficient data flowBuild and maintain APIs and microservices to support AI-driven HR processes and system integrationsCollaborate with data scientists to operationalize models, including fine-tuning, evaluation, and deploymentWrite unit, integration, and end-to-end tests to ensure solution reliability and performanceDocument technical designs, code, and deployment processes for maintainability and knowledge sharingParticipate in code reviews, provide constructive feedback, and contribute to team best practicesSupport the integration of AI outputs with ServiceNow and Workday and other HR solutions by developing and maintaining well-documented APIs and data exchange mechanismsEngage in joint troubleshooting and validation sessions with ServiceNow and Workday teams to resolve integration issues</p><div><p><b>Qualifications:</b></p><p/><p/></div><p/><p>  <b>Education:</b></p><p>Bachelor’s degree in Computer Science, Engineering, or a related field</p><p>  <b>Experience:</b></p><p/><p>3+ years of experience in AI/ML or software development, with exposure to cloud-based environments</p><p>  <b>Required Qualifications:</b></p><p/><p>Proficiency in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)Experience with AWS data engineering tools (e.g., S3, Glue, Redshift) and pipeline developmentHands-on experience integrating and consuming Azure OpenAI or similar LLM APIsFamiliarity with RESTful API development and microservices architectureUnderstanding of data security, privacy, and compliance considerationsExperience working in collaborative, multi-team environments, especially on projects with platform integrations</p><p>  <b>Preferred Qualifications:</b></p><p/><p>Certifications in AWS or Azure cloud platformsExperience with Gen AI frameworks (e.g., LangChain, LlamaIndex)Knowledge of HR domain processes and integrations with systems like WorkdayExperience with CI/CD pipelines and DevOps practicesStrong problem-solving, analytical, and communication skillsExposure to agile development methodologiesFamiliarity with ServiceNow and Workday integration concepts is a plus </p><p/><p/><p>  <b>About Evernorth Health Services</b></p><div>  <div>    <div>      <div>        <div>          <div>            <div>              <p>Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.</p>            </div>          </div>        </div>      </div>    </div>  </div></div></body></html>

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