Senior MLOps & Generative AI Engineer - Remote

Job Description

2026-06-18T00:54:40-05:00 JR-99616 Senior MLOps & Generative AI Engineer –

Remote

JR-99616

Department and Name

Enterprise

Analytics- Corporate Services

System

Physical Location

Virginia Beach,

VA Location Type

Remote

Employment Status

Regular-Full time

Shift

First (Days)

Posted Date

June 23, 2026 Apply Now Share Job Senior MLOps & Generative AI Engineer –

Remote

JR-99616

Department and Name

Enterprise

Analytics- Corporate Services

System

Physical Location

Virginia Beach,

VA Location Type

Remote

Employment Status

Regular-Full time

Shift

First (Days)

Posted Date

• June 23, 2026 Apply Now Share Job Job Overview Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas MLOps Engineering — building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering — designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization’s AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities
• Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management.
• Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments.
• Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation.
• Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads.
• Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability.
• Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes.
• Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code.
• Identify gaps and improvement opportunities within the organization’s ML platform ecosystem and architect scalable solutions to address them.
• Support enterprise AI governance, compliance, auditability, and model risk management requirements.
• Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities
• Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies.
• Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks.
• Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability.
• Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases.
• Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics.
• Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments.
• Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement.
• Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives.
• Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data.
• Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices.

Required Qualifications

• 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications.
• Strong programming skills in Python and experience with software engineering best practices.
• Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent.
• Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies.
• Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP.
• Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures.
• Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure.
• Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices.
• Experience building monitoring, observability, and alerting solutions for ML and AI systems.
• Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations.
• Experience designing secure, scalable, production-ready AI platforms and services.
• Strong communication and collaboration skills with the ability to work across technical and business teams.

Preferred Qualifications

• Previous experience implementing Generative AI and MLOps solutions within healthcare environments.
• Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices.
• Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling.
• Experience with GPU infrastructure optimization and scalable inference architectures.
• Familiarity with multi-agent AI systems and autonomous workflows.
• Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies.
• Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required)
• Experience in lieu of Bachelor’s Degree. Certification/Licensure No specific certification or licensure requirements
• Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is $91,416.00 – $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Keywords Talroo-IT, MLOps, Gen AI, LLM, AWS, Azure, GCP, AI/ML, Python, PyTorch, Hugging Face Transformers, TensorFlow, RAG, EPIC, HIPAA, AI Governance About Us Sentara Health, an integrated, not-for-profit health care delivery system, celebrates more than 135 years in pursuit of its mission – “we improve health every day.” Sentara is one of the largest health systems in the U.S. Mid-Atlantic and Southeast, and among the top 20 largest not-for-profit integrated health systems in the country, with 34,000 employees, 12 hospitals in Virginia and Northeastern North Carolina including 10 hospitals with the prestigious Magnet® recognition, and the Sentara Health Plans division which serves more than 1 million members in Virginia and Florida. Sentara is recognized nationally for clinical quality and safety, and is strategically focused on innovation and creating an extraordinary health care experience for our patients and members. Sentara was named a Health Quality Innovator of the Year (2024), was recognized by Forbes as “America’s Best-In-State Employer” (2024), “Best Employer for Veterans” (2022, 2023), and “Best Employer for Women” (2020), and named to IBM Watson Health’s “Top 15 Health Systems” (2021, 2018). Learn more Our Culture At Sentara, our differences are our strengths. The unique backgrounds, skills, and experiences that each Sentara colleague brings to work make Sentara special and allow us to deliver excellent service and care to our patients, members, and communities. Learn more Our Benefits We are committed to consistently enhancing our training, advancement tracks, work-life benefits, and more. Our goal is to make you feel more excited to be here every day! Learn more The Sentara Nursing
• Experience Making a meaningful impact on health requires compassion, dedication, continuous learning, teamwork and collaboration. At Sentara, we also recognize that in valuing the professional and personal well-being of our nurses, we build a stronger, more supportive workplace for our nurses. And that’s making us healthier from the inside out. These principles unite our nurses across various roles and locations. The Sentara Clinical
• Experience No matter where you choose to join us, in an inpatient or outpatient setting, you will be part of an interdisciplinary Clinical team passionate about quality care and patient safety. You will have access to the tools and technologies you need to succeed and the chance to learn and grow through training and educational programs so you can advance your career as a Clinical professional. The Sentara
• Experience Each day, the Sentara
• Support Services team helps improve healthcare at more than 300 Virginia and Northeastern North Carolina sites. We perform various patient care activities, provide multiple services, and handle administrative functions that support our patients and their families. These vital functions include assisting the medical team in all aspects of medical care, such as treatments, procedures, and diagnostic and laboratory testing. The Medical Group
• Experience As part of Sentara Health, Sentara Medical Group providers have diverse opportunities across regions and inpatient and outpatient locations. For those providers based in one of 12 hospitals, we have close working relationships with the administration, ensuring a collegial and collaborative environment where all can come together around shared initiatives. Guided by a dedicated board of providers, Sentara Medical Group not only offers leadership opportunities for its providers but also underscores the group’s crucial role in fulfilling Sentara’s overarching mission to meet the needs of our diverse patient populations, some of our most vulnerable communities. Our physicians and APPs enjoy opportunities for both personal and professional career growth through a network of resources aimed to cultivate an environment suitable for a lifelong career home. Your Perspective Matters Nurses are the heartbeat of our exceptional team. Our approach empowers nurses to actively participate in decision-making. Our nurses have a stake in shaping their workplace as well as their own career growth; one of the benefits of our focus on supporting and valuing team members. This framework encompasses our nursing mission, vision, values, philosophy, and the essential elements of our Professional Practice Model. This image illustrates the Sentara Nursing Professional Practice Model. Read more about it on The Sentara Nurse
• Experience page. We Are an

Equal Opportunity

Employer Sentara Health is an

Equal Opportunity

Employer committed to the hiring, advancement, and fair treatment of every individual. Sentara and its affiliates do not discriminate against any individual or group of individuals on the basis of race, color, religion, ancestry, national origin, marital status, age, sex, sexual orientation, gender identity or expression, genetic information, physical or mental disability, pregnancy, medical condition, veteran status or any other legally protected characteristics. Similar Jobs Similar Jobs ServiceNow Principal Domain Architect - Remote Remote Data Engineer - Remote Remote Clinical Systems Domain Architect- Population Health Remote Remote Talent Network Join our talent network to sign up for job alerts and be matched with great opportunities! Upcoming Events Explore our Events We Are an

Equal Opportunity

Employer Sentara Health is an

Equal Opportunity

Employer committed to the hiring, advancement, and fair treatment of every individual. Sentara and its affiliates do not discriminate against any individual or group of individuals on the basis of race, color, religion, ancestry, national origin, marital status, age, sex, sexual orientation, gender identity or expression, genetic information, physical or mental disability, pregnancy, medical condition, veteran status or any other legally protected characteristics. '); About Sentara Community Involvement Newsroom Clinical Quality & Patient Safety Careers Volunteer For Physicians For Employees Contact Us Sentara In Your Community Hospitals & Locations Classes, Events & Support Groups ExploreHealth with Sentara Community Health Needs Assessments Foundations and Giving Follow Us Follow Us Privacy Policy User Agreement Social Media Policy Notice of Non-Discrimination Compliance Office If you require accommodations under the Americans with Disabilities Act (ADA) to complete an application, please email: taadmin@sentara.com or contact us at 757-228-7425.

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