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Remote Senior Program Manager Jobs in Virginia Beach, VA

Aggreko

Project Manager, Major Projects

Norfolk, VA · Remote

$130K - $150K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely on us for decades. What you'll do: * Work with Major Projects Program Manager and Major Projects ...

MCI Careers

Senior Capture Manager

Virginia Beach, VA · On-site +1

$100K - $135K/yr

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... We are seeking a seasoned and dynamic Senior Capture Manager with demonstrated expertise in ...

MCI Careers

Senior Capture Manager

Virginia Beach, VA · On-site +1

Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies ... Subject to the program and location of the position * Must be willing to submit up to a LEVEL II ...

HMG Careers

Sales Manager Remote

Chesapeake, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Sales Manager Remote

Hampton, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Remote Sales Manager

Chesapeake, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Remote Sales Manager

Virginia Beach, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Sales Manager Remote

Newport News, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Remote Sales Manager

Newport News, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

HMG Careers

Remote Sales Manager

Norfolk, VA · Remote

$69K/yr

Remote Insurance Sales Representative | Flexible Schedule | Commission-Based This position offers ... Present benefit programs and assist clients with enrollment * Build and maintain strong client ...

Booz Allen Hamilton, Inc.

Editor, Senior

Norfolk, VA · On-site +1

$55K - $126K/yr

Remote Work: Hybrid Job Number: R0246232 Location: Norfolk,VA,US Share job via: Share Editor ... Bachelor's degree in Business Administration, Management Science, English, or Communications and 2+ ...

Sentara Healthcare

Senior Accountant

Virginia Beach, VA · On-site +1

$70K - $88K/yr

... statements for management presentation. Creates relevant work papers, schedules, and ... Remote Opportunity Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision ...

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Showing results 21-40

All JobsProgram JobsRemote Senior Program Manager JobsRemote Senior Program Manager Jobs in Virginia Beach, VA

Remote Senior Program Manager information

See Virginia Beach, VA salary details

$37K

$109.3K

$147.6K

How much do remote senior program manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote senior program manager in Virginia Beach, VA is $109,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $110,600.00 per year, depending on experience, location, and employer.

What is a remote senior program manager?

A Remote Senior Program Manager oversees strategic projects and programs while working remotely. They coordinate cross-functional teams, manage budgets and timelines, and ensure that business objectives are met. This role requires strong leadership, communication, and problem-solving skills to align stakeholders and drive project success. Remote work adds the challenge of virtual collaboration, requiring proficiency in digital communication tools. Effective time management and adaptability are crucial for handling multiple projects efficiently.

What are the biggest challenges faced by remote senior program managers, and how can they be overcome?

One major challenge for remote senior program managers is fostering effective communication and collaboration across geographically dispersed teams. To overcome this, successful managers leverage digital tools for regular updates, maintain clear documentation, and establish structured meeting schedules. Building trust and alignment among team members requires proactive engagement and clear expectations. Additionally, being adaptable and responsive to time zone differences ensures that project milestones are met efficiently. These strategies help maintain productivity and ensure that programs run smoothly in a virtual setting.

What are the key skills and qualifications needed to thrive in the remote senior program manager position, and why are they important?

To thrive as a Remote Senior Program Manager, you need extensive experience in program management, a solid understanding of project methodologies (such as Agile or Waterfall), and a relevant degree or certification like PMP or PgMP. Familiarity with collaboration and project tracking tools such as Jira, Asana, MS Project, or Slack is typically required. Exceptional leadership, communication, and problem-solving abilities are crucial, along with strong organizational and stakeholder management skills. These qualities are vital to drive complex programs across distributed teams, ensuring successful delivery in a remote environment.

What job categories do people searching Remote Senior Program Manager jobs in Virginia Beach, VA look for?

The top searched job categories for Remote Senior Program Manager jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Remote Senior Program Manager jobs?

Cities near Virginia Beach, VA with the most Remote Senior Program Manager job openings:

Remote Senior Program Manager jobs near you
Infographic showing various Remote Senior Program Manager job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $109,284 per year, or $52.5 per hour.

Senior MLOps & Generative AI Engineer - Remote

Sentara Healthcare

Virginia Beach, VA • On-site, Remote

$99K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Sentara Health rating

6.7

Company rating: 6.7 out of 10

Based on 412 frontline employees who took The Breakroom Quiz

531st of 888 rated healthcare providers

Job description

City/State
Virginia Beach, VA
Work Shift
Multiple shifts available
Overview:
Sentara is hiring a Senior MLOps & Generative AI Engineer!
This position is fully remote!
Selected candidates would be required to be onsite for final round of team interview
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
Benefits: Caring For Your Family and Your Career
• 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
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.
Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves.
In support of our mission "to improve health every day," this is a tobacco-free environment.
For positions that are available as remote work, Sentara Health employs associates in the following states:
Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

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