MLOps & Generative AI Engineer, Sr.
Sundayy · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Build and deploy scalable AI infrastructure for healthcare.
- Develop and maintain Generative AI and LLM applications.
- Collaborate with cross-functional teams on AI initiatives.
- Ensure secure, reliable, and efficient AI systems.
- Shape AI platform strategy and best practices.
About the role
About The Company
Sentara is a renowned healthcare organization dedicated to improving healthcare outcomes through innovative technology and patient-centered services. With a strong commitment to leveraging cutting-edge AI and machine learning solutions, Sentara aims to enhance operational efficiency, clinical decision-making, and patient care. The organization fosters a collaborative environment that values technological advancement, continuous learning, and excellence in healthcare delivery. Sentara’s mission revolves around providing high-quality, accessible, and affordable healthcare services while integrating advanced digital solutions to meet the evolving needs of the communities it serves.
About The Role
Sentara is seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our expanding AI organization. This fully remote position offers an exciting opportunity to work on pioneering healthcare AI initiatives that utilize machine learning, deep learning, natural language processing, and Generative AI technologies. As a key member of the team, you will be responsible for building, deploying, and maintaining scalable AI infrastructure and applications that drive operational excellence and innovative healthcare solutions. You will collaborate closely with AI scientists, data engineers, software developers, and product teams to operationalize AI models at an enterprise level, ensuring secure, reliable, and efficient AI systems are in place. Your expertise will directly contribute to shaping the organization’s AI platform strategy, establishing best practices, and delivering impactful AI-driven solutions in a healthcare environment.
Qualifications
- 5+ years of experience in building and deploying production software, ML systems, or AI platforms
- 1+ years of hands-on experience with production Generative AI or LLM-based applications
- Proficiency in Python programming and software engineering best practices
- Experience with deep learning frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent
- Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks
- Experience with vector databases like Pinecone, Weaviate, Chroma, FAISS, or Milvus
- Proficiency in deploying AI/ML systems within cloud environments such as AWS, Azure, or GCP
Responsibilities
- Design, develop, and maintain scalable ML infrastructure supporting model training, deployment, monitoring, and lifecycle management
- Develop and optimize CI/CD pipelines for AI workloads across various environments
- Build reusable ML platform components including feature stores, model registries, experimentation frameworks, and deployment automation tools
- Create scalable orchestration and workflow solutions for batch and real-time inference workloads
- Implement monitoring systems to track model performance, data quality, and detect model drift
- Develop automation tools and self-service capabilities to enhance ML operational efficiency and scalability
- Collaborate with Data Scientists and Software Engineers to streamline AI/ML lifecycle processes
- Apply software engineering best practices, including testing, observability, resiliency, security, and infrastructure-as-code
- Identify gaps within the ML platform ecosystem and architect scalable solutions to address them
- Support enterprise AI governance, compliance, auditability, and risk management requirements
- Ensure the reliability, security, and operational excellence of AI/ML systems in production
- Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs and foundation models
Benefits
- Medical, Dental, Vision plans
- Adoption, Fertility and Surrogacy Reimbursement up to $10,000
- Paid Time Off and Sick Leave
- Paid Parental & Family Caregiver Leave
- Emergency Backup Care
- Long-Term, Short-Term Disability, and Critical Illness plans
- Life Insurance
- 401k/403B with Employer Match
- Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education
- Student Debt Pay Down - $10,000
- Reimbursement for certifications and free access to complete CEUs and professional development
- Pet Insurance
- Legal Resources Plan
Key skills/competency
- Senior MLOps & Generative AI Engineer
- Machine Learning
- Deep Learning
- Natural Language Processing
- Generative AI
- LLMs
- Python
- Cloud Environments (AWS, Azure, GCP)
- CI/CD Pipelines
- Retrieval-Augmented Generation (RAG)
Skills & topics
- MLOps
- Generative AI
- Senior Engineer
- AI
- Machine Learning
- Deep Learning
- Python
- Cloud
- LLM
- Healthcare AI
How to get hired
- Tailor your resume: Highlight your 5+ years of production software/ML experience and 1+ year with Generative AI/LLMs.
- Showcase Python & Cloud skills: Emphasize your proficiency in Python, software engineering best practices, and cloud deployment (AWS, Azure, GCP).
- Detail Generative AI expertise: Include experience with RAG, vector databases, prompt engineering, and LLM orchestration frameworks.
- Quantify achievements: Use data to demonstrate the impact of your ML infrastructure and AI solutions.
- Prepare for technical interviews: Be ready to discuss MLOps, deep learning frameworks, and CI/CD pipelines for AI workloads.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Senior MLOps & Generative AI Engineer role at Sentara?
- This is a fully remote position, allowing you to work from anywhere. Sentara is committed to providing flexibility while ensuring impactful contributions to their AI initiatives.
- What are the key technical skills required for the Senior MLOps & Generative AI Engineer at Sentara?
- The role requires strong Python programming, deep learning framework experience (PyTorch, TensorFlow), proficiency in cloud platforms (AWS, Azure, GCP), and hands-on experience with Generative AI concepts like RAG, vector databases, and LLM orchestration.
- What experience level is expected for the Senior MLOps & Generative AI Engineer position?
- Sentara is looking for candidates with at least 5 years of experience in building and deploying production software, ML systems, or AI platforms, including a minimum of 1 year specifically with Generative AI or LLM-based applications.
- How does Sentara support employee growth and development in this role?
- Sentara offers a comprehensive benefits package including tuition assistance up to $5,250/year, discounted educational opportunities, and reimbursement for certifications, supporting continuous learning and professional development in AI and MLOps.
- What is the primary focus of the Senior MLOps & Generative AI Engineer role at Sentara?
- The primary focus is on building, deploying, and maintaining scalable AI infrastructure and applications, with a significant emphasis on pioneering Generative AI and LLM-based solutions within the healthcare sector.