Full-Time
AI Systems Engineer
Posted on 8/21/2026
WebMD
1,001-5,000 employees
Online health information platform with tools
Compensation Overview
$120k - $145k/yr
Newark, NJ, USA + 1 more
More locations: Yardley, PA, USA
Hybrid
Hybrid role; specific required in-office days are not stated.
 DevOps & Infrastructure (1) |
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- Experience across the complete infrastructure stack, including network, security, storage, hardware, and operating system layers.
- Expertise with Windows Server administration, configuration, upgrades, and lifecycle management.
- Deep expertise in PowerShell scripting for automation, provisioning, reporting, and systems management.
- Expertise in DNS and DHCP administration, including Windows Server DNS roles, zone management, conditional forwarding, split-brain DNS, and DNSSEC.
- Experience with enterprise backup tools including NetApp, and with building disaster recovery environments and failover plans.
- Proficiency with virtualization platforms such as VMware and Hyper-V.
- Experience managing and maintaining security patches across server and application estates.
- Experience migrating data across cloud, hybrid, and on-premises environments.
- Ability to plan, organize, and document complex system maintenance activities and configure systems consistently with institutional policies and procedures.
- Experience administering Google Workspace, including user lifecycle management, organizational unit management, and GAM scripting.
- Experience with Google Cloud Platform infrastructure and services.
- Experience administering Microsoft Office 365, including licensing, Exchange Online, and compliance.
- Experience with Microsoft Azure, including Entra ID, Conditional Access, Privileged Identity Management, and Azure resource management.
- Familiarity with configuring applications with Azure single sign-on or Google single sign-on using SAML, OpenID Connect, and OAuth 2.0.
- Hands-on experience deploying, configuring, and administering large language model platforms including Anthropic Claude and Google Gemini across enterprise environments.
- Experience architecting and administering Model Context Protocol server infrastructure, including server deployment, tool registries, connector ecosystems, and integration with enterprise identity and access controls.
- Ability to design and enforce AI connector governance policies covering scope management, permission auditing, credential lifecycle, and connector access reviews.
- Experience performing AI platform security assessments covering permission scopes, data flows, output validation pipelines, prompt-injection defenses, and human-in-the-loop controls.
- Familiarity with AI hardening principles, including model access controls, rate limiting, web application firewall integration, API gateway configuration, session controls, and kill-switch hierarchies.
- Experience configuring and monitoring security information and event management detection rules for AI platform activity and anomaly detection.
- Understanding of responsible AI deployment, including data residency requirements, privacy by design, audit logging, and regulatory alignment with HIPAA and GDPR as applicable.
- Ability to evaluate new AI tools and platforms against enterprise security standards before production deployment.
- Experience authoring AI systems documentation, including architecture diagrams, runbooks, security assessments, and governance policies.
- Knowledge of applicable data privacy practices, laws, and regulations, including HIPAA, SOC 2, and GDPR fundamentals.
- Experience with identity and access management tooling, including Entra ID, Active Directory, SAML/OpenID Connect federation, multi-factor authentication enforcement, and privileged access management.
- Familiarity with network security concepts including firewall policy, VPN administration, web application firewall configuration, and zero-trust network access models.
- Experience with endpoint management using Microsoft Intune or comparable mobile device management solutions.
- Comfort with on-call schedules and timely responses to critical alerts.
- Provide technical support to corporate business units and support their applications across the enterprise.
- Maintain the back-end IT infrastructure estate, including servers, storage, UPS, and Hyper-V environments.
- Perform Windows Server upgrades, rebuilds, and operating system lifecycle management.
- Manage and maintain security patches across server infrastructure on a defined cadence.
- Migrate data across cloud, hybrid, and on-premises environments with documented rollback plans.
- Administer and maintain Windows Server DNS, including zone health, record lifecycle, replication, and conditional forwarding configurations.
- Build and maintain disaster recovery environments, runbooks, and failover/failback plans, and participate in disaster recovery testing exercises.
- Author and maintain runbooks and technical documentation as environments evolve.
- Learn and document the environments of current and future acquired companies to enable smooth integration.
- Architect new IDF/MDF configurations and identify opportunities to scale back or synergize infrastructure across the portfolio.
- Own the deployment, configuration, and ongoing administration of enterprise AI platforms, including Anthropic Claude and Google Gemini, and manage platform accounts, access policies, and usage governance.
- Architect and manage enterprise Model Context Protocol server infrastructure, including server instances, tool and connector registries, connector lifecycle, and data-flow and permission policies.
- Integrate AI platforms and Model Context Protocol servers with enterprise identity and access management controls, including Entra ID/Azure AD single sign-on, Conditional Access, and multi-factor authentication.
- Conduct periodic AI connector and platform security assessments, document findings, and drive remediation.
- Implement and maintain AI hardening controls, including API gateway rate limiting, web application firewall rules, session management, kill-switch procedures, and anomaly monitoring through security information and event management.
- Partner with business units to evaluate new AI tools and vendor platforms, perform pre-deployment security reviews, and produce architecture documentation before production rollout.
- Maintain comprehensive documentation for all AI systems, including architecture diagrams, security assessment reports, connector governance policies, and operational runbooks.
- Stay current with enterprise AI platforms, Model Context Protocol ecosystem tooling, and AI security best practices, and translate emerging capabilities into actionable infrastructure improvements.
- Collaborate with legal, compliance, and security teams to ensure AI platform usage aligns with HIPAA, data privacy obligations, and organizational policy.
- Work cross-functionally to coordinate large-scale infrastructure efforts, migrations, and AI platform rollouts.
- Represent IT infrastructure and AI operations as a subject-matter expert in cross-team planning and architecture discussions.
- Communicate project status, risks, and decisions to technical and non-technical stakeholders.
- Certifications in VMware, Hyper-V, MCSE, MCSA, or AWS/Azure Solutions Architect.
- Certifications or coursework in AI/ML platforms, prompt engineering, or responsible AI.
- Experience with infrastructure-as-code tooling such as Terraform or Bicep.
- Familiarity with security information and event management platforms such as Microsoft Sentinel or Splunk.
- Experience with acquisition IT integration, including user provisioning, mailbox migrations, single sign-on federation, and directory consolidation.
WebMD provides online health information, tools, and support for people seeking health guidance. Its offerings include symptom checkers, a drug database, a doctor directory, medical news, and wellness resources for consumers and healthcare professionals. The platform works by presenting medically oriented content and interactive tools on a website, with revenue mainly from targeted advertising, sponsored content, and lead-generation partnerships with pharmaceutical companies and healthcare providers. WebMD distinguishes itself by delivering a broad, consumer-focused suite of health resources, including interactive tools and a doctor directory, built to serve the general public and professionals alike. Its goal is to be a trusted online destination for health information and related services, helping users understand conditions, compare options, and connect with care providers while monetizing through ads and sponsorships.
Company Size
1,001-5,000
Company Stage
Acquired
Total Funding
$289M
Headquarters
Newark, New Jersey
Founded
1996
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Simplify's Take
What believers are saying
- WebMD’s February 25, 2025 physician suicide report keeps Medscape visible with clinicians.
- Internet Brands completed its WebMD tender in 2026, signaling continued KKR backing.
- WebMD’s 2025 press center listed no new releases this year, preserving operating focus.
What critics are saying
- Jancik v. WebMD certified a class in February 2025 over Meta pixel disclosures.
- That VPPA case targets at least 550,213 subscriber emails, risking massive statutory damages.
- If regulators and courts curtail tracking, WebMD’s advertising targeting advantage erodes quickly.
What makes WebMD unique
- WebMD owns consumer health traffic and Medscape physician reach across distinct audiences.
- Its drug database, symptom tools, and doctor directory create habitual, search-driven usage.
- WebMD’s brand still anchors health information trust against generic publishers and AI answers.
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Benefits
Health Insurance
Paid Vacation
Paid Sick Leave
Paid Holidays
401(k) Retirement Plan
401(k) Company Match
Life Insurance
Disability Insurance
Commuter Benefits
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 9%The American Medical Association Friday named as its new CEO Dr. John J. Whyte a former chief. More medical officer at WebMD who also worked at the U.S. Department of Health and Humana Services and the U.S. Food and Drug Administration
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