AI Systems Engineer
Yardley, PA · On-site
Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures ...
AI Systems Engineer
Yardley, PA · On-site
Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures ...
AI Systems Engineer
Yardley, PA · Hybrid
Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures ...
AI Systems Engineer
Yardley, PA · Hybrid
Position Overview The AI & Systems Engineer is a hybrid infrastructure and AI operations role ... API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures ...
Kill Switch Engineer information
What is a kill switch engineer?
A Kill Switch Engineer is responsible for designing, implementing, and maintaining emergency shutdown mechanisms for software, hardware, or network systems. These engineers ensure that critical systems can be safely and efficiently deactivated in case of security threats, software failures, or other emergencies. They work closely with cybersecurity teams, developers, and infrastructure engineers to integrate fail-safe mechanisms that protect data and infrastructure. Their role is crucial in industries like finance, defense, and telecommunications, where system integrity and security are top priorities.
What are the key skills and qualifications needed to thrive as a kill switch engineer?
To thrive as a Kill Switch Engineer, you need a strong background in cybersecurity, network engineering, and system architecture, often supported by a relevant degree such as computer science or information technology. Familiarity with intrusion detection systems (IDS), automated response tools, and certifications like CISSP or CEH is highly valued. Excellent troubleshooting skills, clear communication, and the ability to respond calmly under pressure are key soft skills for this position. These capabilities ensure swift, secure implementation of critical fail-safe mechanisms to protect organizational assets and maintain operational resilience.
What are some common challenges kill switch engineers encounter in their day-to-day roles?
Kill Switch Engineers often face the challenge of designing and maintaining fail-safe mechanisms that must work flawlessly under emergency conditions, requiring robust testing and rapid response capabilities. They regularly collaborate with security teams, network administrators, and IT leadership to ensure the kill switch functions as intended and meets evolving compliance standards. Engineers must also stay proactive in updating protocols to address emerging cyber threats and minimize the risk of accidental triggers. The dynamic nature of the field means adaptability and continuous learning are critical for success.
How much does a Kill Switch Engineer make?
The salary of a Kill Switch Engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually. Professionals in cybersecurity or software engineering roles with specialized skills in safety systems or emergency shutdown protocols tend to earn higher salaries.
What are popular job titles related to Kill Switch Engineer jobs in Philadelphia, PA?
For Kill Switch Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Kill Switch Engineer jobs in Philadelphia, PA look for?
The top searched job categories for Kill Switch Engineer jobs in Philadelphia, PA are:
AI Systems Engineer
Yardley, PA • On-site
WebMD •
1 - 5K employees1,001 - 5,000 employees
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 19 days ago
Job description
Description
Position at WebMD
WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through our public and private online portals and WebMD the Magazine. The WebMD Health Network includes WebMD, Medscape, MedicineNet, eMedicine, RxList, theheart.org and Medscape Education. Our consumer portals and mobile health applications provide engaging, relevant and credible health and wellness information, personalized health assessment tools and access to online communities.
WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Position Overview
The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and governing AI systems across the organization. This role serves as the primary technical owner for AI platform integrations-including large language models, MCP servers, and connector ecosystems-alongside traditional systems administration responsibilities covering Windows Server, cloud platforms, network infrastructure, and enterprise security. The ideal candidate bridges deep infrastructure expertise with hands-on AI engineering, ensuring AI systems are deployed with rigor, properly hardened, and tightly integrated with existing enterprise identity and security controls.
Position Requirements:
Infrastructure & Systems Administration
Security & Compliance
Certifications & Nice-to-Have
Roles & Responsibilities
Infrastructure Operations
AI Systems Engineering & Governance
Collaboration & Stakeholder Engagement
Salary range: $120,000 - $145,000
Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.
Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:
Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.
Position at WebMD
WebMD is the most recognized and trusted brand of health information and the leading provider of health information services, serving consumers, physicians, healthcare professionals, employers and health plans through our public and private online portals and WebMD the Magazine. The WebMD Health Network includes WebMD, Medscape, MedicineNet, eMedicine, RxList, theheart.org and Medscape Education. Our consumer portals and mobile health applications provide engaging, relevant and credible health and wellness information, personalized health assessment tools and access to online communities.
WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.
Position Overview
The AI & Systems Engineer is a hybrid infrastructure and AI operations role responsible for managing the full enterprise IT stack while also architecting, deploying, securing, and governing AI systems across the organization. This role serves as the primary technical owner for AI platform integrations-including large language models, MCP servers, and connector ecosystems-alongside traditional systems administration responsibilities covering Windows Server, cloud platforms, network infrastructure, and enterprise security. The ideal candidate bridges deep infrastructure expertise with hands-on AI engineering, ensuring AI systems are deployed with rigor, properly hardened, and tightly integrated with existing enterprise identity and security controls.
Position Requirements:
Infrastructure & Systems Administration
- Experience across the complete infrastructure stack: network, security, storage, hardware, and OS layer
- 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; building DR environments and failover plans
- Proficiency with virtualization platforms: VMware and/or 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; configure systems consistent with institutional policies and procedures
- Comfortable with on-call schedules and response to critical alerts in a timely manner
- Experience with Google Workspace administration (user lifecycle, OU management, GAM scripting)
- Experience with Google Cloud Platform (GCP) infrastructure and services
- Experience with Microsoft Office 365 administration including licensing, Exchange Online, and compliance
- Experience with Microsoft Azure including Entra ID (formerly Azure AD), Conditional Access, PIM, and Azure resource management
- Familiarity with setting up and configuring applications with Azure SSO or Google SSO (SAML, OIDC, OAuth 2.0)
- Hands-on experience deploying, configuring, and administering large language model (LLM) platforms including Anthropic Claude (claude.ai, Claude API, Claude Code) and Google Gemini across enterprise environments
- Experience architecting and administering MCP (Model Context Protocol) server infrastructure: deploying MCP server instances, configuring tool registries, managing connector ecosystems (Airtable, Atlassian, Google Drive, Gmail, and others), and integrating MCP servers with enterprise identity and access controls
- Ability to design and enforce AI connector governance policies: 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 HITL (Human-in-the-Loop) controls
- Familiarity with AI hardening principles: model access controls, rate limiting, WAF integration, API gateway configuration, session controls, and kill switch hierarchies for AI systems
- Experience configuring and monitoring SIEM 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 (HIPAA, GDPR as applicable)
- Ability to evaluate new AI tools and platforms against enterprise security standards prior to production deployment
- Experience authoring AI systems documentation: architecture diagrams, runbooks, security assessments, and governance policies
Security & Compliance
- Knowledge of applicable data privacy practices, laws, and regulations (HIPAA, SOC 2, GDPR fundamentals)
- Experience with identity and access management (IAM) tooling: Entra ID, Active Directory, SAML/OIDC federation, MFA enforcement, and privileged access management
- Familiarity with network security concepts including firewall policy, VPN administration, WAF configuration, and zero-trust network access models
- Experience with endpoint management using Microsoft Intune or comparable MDM solutions
Certifications & Nice-to-Have
- Certifications in VMware, Hyper-V, MCSE, MCSA, or AWS/Azure Solutions Architect are desirable
- Certifications or coursework in AI/ML platforms, prompt engineering, or responsible AI are a plus
- Experience with infrastructure-as-code tooling (Terraform, Bicep, or comparable) is advantageous
- Familiarity with SIEM platforms (Microsoft Sentinel, Splunk, or similar) for security monitoring
- Experience with acquisition IT integration: user provisioning, mailbox migrations, SSO federation, and directory consolidation
Roles & Responsibilities
Infrastructure Operations
- 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 OS 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 DR environments, runbooks, and failover/failback plans; participate in DR testing exercises
- Work with or without formal SOPs; author and maintain runbooks and technical documentation as environments evolve
- Proactively learn and document the environments of current and future acquired companies to enable smooth integration
- Serve as a thought leader and architect new IDF/MDF configurations; identify opportunities to scale back or synergize infrastructure across the portfolio
- Be comfortable with on-call schedules and respond to critical alerts in a timely and effective manner
AI Systems Engineering & Governance
- Own the deployment, configuration, and ongoing administration of enterprise AI platforms including Anthropic Claude (claude.ai, Claude API, Claude Code) and Google Gemini; manage platform accounts, access policies, and usage governance
- Architect and manage the enterprise MCP server infrastructure: deploy and maintain MCP server instances, configure tool and connector registries, manage connector lifecycle (onboarding, auditing, deprecation), and enforce data flow and permission policies across connectors
- Integrate AI platforms and MCP servers with enterprise IAM controls (Entra ID / Azure AD SSO, Conditional Access, MFA) to ensure AI system access is governed through standard identity pipelines
- Conduct periodic AI connector and platform security assessments covering permission scopes, credential exposure, data residency, output validation, and prompt injection risk; document findings and drive remediation
- Implement and maintain AI hardening controls: API gateway rate limiting, WAF rules for AI endpoints, session management, kill switch procedures, and anomaly monitoring via SIEM
- 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: architecture diagrams, security assessment reports, connector governance policies, and operational runbooks
- Stay current with developments in enterprise AI platforms, MCP ecosystem tooling, and AI security best practices; 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
Collaboration & Stakeholder Engagement
- Establish strong working relationships with corporate business units, the Operations team, IT leadership, and direct manager
- 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 clearly to both technical and non-technical stakeholders
Salary range: $120,000 - $145,000
Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.
Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:
- Health Insurance (medical, dental, and vision coverage)
- Paid Time Off (including vacation, sick leave, and flexible holiday days)
- 401(k) Retirement Plan with employer matching
- Life and Disability Insurance
- Employee Assistance Program (EAP)
- Commuter and/or Transit Benefits (if applicable)
Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.
About WebMD
Sourced by ZipRecruiter
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
1996