BrightSpring Health Services

We are seeking a seasoned Senior MLOps / DevOps Engineer to lead the deployment, automation, and operationalization of AI/ML solutions within our next-generation AI-enabled Health Cloud Platform. This platform powers intelligent clinical and pharmacy applications using Generative AI, Agentic AI, Robotic Process Automation (RPA), and Retrieval-Augmented Generation (RAG) with domain-specific vector databases.

 

You’ll work closely with AI architects, data scientists, and product teams to build scalable, secure, and compliant infrastructure that supports real-world healthcare workflows.

• Design and implement robust MLOps pipelines for training, validation, deployment, and monitoring of AI/ML models.
• Automate infrastructure provisioning and CI/CD workflows across cloud environments (Azure, AWS, GCP).
• Manage containerization and orchestration using Docker, Kubernetes, and Helm.
• Optimize model serving and inference performance using tools like TorchServe, Triton, or FastAPI.
• Integrate RAG pipelines, vector databases (e.g., FAISS, Weaviate, Pinecone), and agentic frameworks (LangChain, AutoGen) into production environments.
• Ensure compliance with healthcare data standards (FHIR, HL7) and privacy regulations (HIPAA).
• Monitor system health, implement observability tools (Prometheus, Grafana), and respond to incidents.
• Collaborate with cross-functional teams to ensure scalability, reliability, and security of AI services.
• Mentor junior engineers and contribute to DevOps best practices across the organization.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in DevOps, MLOps, or cloud infrastructure engineering.
• Deep expertise in cloud platforms (Azure, AWS, GCP), containerization, and orchestration.
• Strong proficiency in Python and infrastructure-as-code tools (Terraform, Pulumi).
• Experience with ML lifecycle tools (MLflow, Kubeflow, SageMaker, Vertex AI).
• Experience with security, monitoring, and performance optimization in production environments.
• Familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
• Knowledge of healthcare data formats and compliance standards (FHIR, HL7, HIPAA).
• Excellent problem-solving, collaboration, and communication skills.
• Travel up to 25%

BrightSpring Health Services provides complementary home- and community-based pharmacy and provider health solutions for complex populations in need of specialized and/or chronic care. Through the Company’s service lines, including pharmacy, home health care and primary care, and rehabilitation and behavioral health, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 450,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and often industry-leading quality metrics across its services lines while improving the quality of life and health for high-need individuals and reducing overall costs to the healthcare system. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.