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BlueCross BlueShield of Tennessee
BlueCross BlueShield of Tennessee
5.001 – 10.000 Angajați
Sponsor pentru viza H1BAsigurăriAsistență medicalăConsultanță
BlueCross BlueShield of Tennessee este un furnizor de planuri de sănătate cu sediul în Tennessee, care deservește 3,4 milioane de membri prin activitatea sa în domeniul serviciilor medicale și al asigurărilor. În calitate de licențiat independent al Blue Cross Blue Shield Association și emitent eligibil pentru planurile de pe Piața asigurărilor de sănătate, compania combină acoperirea medicală cu serviciile pentru clienți și îngrijirea axată pe comunitate. Oportunitățile de carieră acoperă o gamă largă de domenii profesionale, inclusiv programul de internship BlueBridge, care îi ajută pe studenți și pe proaspeții absolvenți să își înceapă cariera. BlueCross BlueShield of Tennessee pune, de asemenea, accent pe un mediu de lucru în care angajații sunt apreciați, respectați și incluși.
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Senior AI Engineer (Hybrid) - Chattanooga, TN

Lead the development of AI platforms, MCP services, and enterprise integrations for healthcare payer applications at BlueCross BlueShield of Tennessee. Own production AI delivery, model deployment, evaluation, and automation initiatives.

USStatele Unite ale AmericiiTNTennesseeHibridNormă întreagăSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorFlow

Descriere

  • Lead the concept development, delivery, and production launch of advanced AI solutions for healthcare payer applications
  • Design and implement sophisticated AI models and algorithms with Python and cloud services including GCP Vertex AI
  • Work with product teams and business stakeholders to prioritize AI opportunities that address operational challenges and automate processes
  • Track developments in artificial intelligence and promote the practical adoption of emerging methods
  • Build scalable, efficient architectures and codebases for deploying machine learning models in production
  • Advise internal business units by gathering requirements and converting them into effective AI solutions
  • Create and manage evaluation and validation practices covering model accuracy, reliability, fairness, and performance
  • Coach junior engineers in AI development, model implementation, and system architecture
  • Build the AI integration and automation foundation for Core Payer Applications
  • Deliver AI platform features, MCP services, and enterprise integrations that connect AI agents to applications, APIs, and data sources

Cerințe

  • Bachelor’s degree in STEM or a related discipline, or equivalent professional experience
  • At least five years of relevant experience in analytics, technology, software engineering, healthcare, or a comparable field
  • At least three years of practical experience with machine learning, deep learning, and preferably AI models
  • Background designing and developing enterprise integrations, APIs, or platform services in regulated settings
  • Experience with AI agents, MCP (Model Context Protocol), tool calling, or comparable frameworks
  • Ability to convert business workflows into scalable solutions enhanced by artificial intelligence
  • Experience working with large, complex datasets to develop and optimize advanced data science pipelines
  • Strong knowledge of machine learning and deep learning frameworks such as PyTorch and TensorFlow, natural language processing, and libraries including Hugging Face Transformers
  • Experience deploying and operating machine learning models in cloud environments; GCP Vertex AI is preferred, with AWS SageMaker or Azure ML also accepted
  • Advanced proficiency in Python and relevant data science and machine learning libraries
  • Proficiency with Microsoft Office applications, including Outlook, Word, Excel, and PowerPoint
  • Ability to architect, design, and deliver complex technical systems
  • Record of leading technically demanding initiatives from initial concept through deployment
  • Ability to explain complex technical concepts clearly to project teams, business staff, and leadership
  • Capability to provide technical direction and mentorship
  • Strong communication and influencing skills with technical and non-technical colleagues and stakeholders
  • Visa sponsorship is not available for this position
  • Final-round interviews must be conducted at the Chattanooga, Tennessee headquarters

Beneficii

  • Employee worker classification
  • Equal employment opportunity protections
  • Fully remote work arrangement
  • Mission-focused work supporting improved health outcomes

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