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Systems Engineer Jobs in Princeton, NJ (NOW HIRING)

WebMD

AI Systems Engineer

Yardley, PA · On-site

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 ...

SHI

IDCS Systems Engineer

Piscataway, NJ · On-site

$90K - $140K/yr

Job Summary The IDCS Systems Engineer is responsible for installing, configuring, and testing operating systems and application software for customer orders while collaborating with IT and security ...

SHI

IDCS Systems Engineer

Piscataway, NJ · On-site

$90K - $140K/yr

Job Summary The IDCS Systems Engineer is responsible for installing, configuring, and testing operating systems and application software for customer orders while collaborating with IT and security ...

Cohen & Steers

Director, Systems Engineer

New York, NY · Hybrid

$185K - $200K/yr

Director, Systems Engineer Department: Information Technology Reports To: VP, Head of Systems Engineering FLSA Code: Exempt Estimated Salary: $185,000 - $200,000 Job Summary: The ideal candidate will ...

Cohen & Steers

Director, Systems Engineer

New York, NY · On-site

$185K - $200K/yr

Director, Systems Engineer Department: Information Technology Reports To: VP, Head of Systems Engineering FLSA Code: Exempt Estimated Salary: $185,000 - $200,000 Job Summary: The ideal candidate will ...

AVTC Group

Mechanical Systems Engineer

Bridgewater, NJ · On-site +1

Mechanical Systems Engineer * Plant design, preparation of process and instrument drawings (P&ID), equipment general arrangement drawings, iso-metric piping designs and vessel installations. Any ...

IndSoft Inc

Systems Engineer IV

Bridgewater, NJ · On-site

Systems Engineer IV Location: Bridgewater, NJ Duration: 6+ Months To complement a enterprise wide infrastructure services - end user solutions engineering department, the engineer will help define ...

AeroVect

Senior Systems Engineer

New York, NY · On-site +1

$114K - $156K/yr

Define and track KPIs for your areas to support data-driven engineering and system performance. * Build data collection and analysis pipelines that support verification & validation processes.

IndSoft Inc

Systems Engineer IV

Bridgewater, NJ · On-site

Systems Engineer IV Location: Bridgewater, NJ Duration: 6+ Months • To complement a enterprise wide infrastructure services - end user solutions engineering department, the engineer will help ...

Stone Search

Senior Systems Engineer

New York, NY · Hybrid

$114K - $156K/yr

SENIOR SYSTEMS ENGINEER HYBRID - NEW YORK CITY PERMANENT RESIDENTS ONLY PERMANENT ONLY The ideal candidate will have a minimum of five years' experience to be a part of our Infrastructure & Security ...

Moment Technology

Distributed Systems Engineer

New York, NY · On-site

$200K - $400K/yr

Distributed Systems Engineer Build the future of investment management with us The infrastructure managing $300 trillion in assets was built in the 90s. Now, all of it is up for grabs. The winner of ...

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All JobsSystems Engineer JobsSystems Engineer Jobs in Princeton, NJ

Systems Engineer information

See Princeton, NJ salary details

$56.6K

$134.5K

$176.6K

How much do systems engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for systems engineer in Princeton, NJ is $134,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a systems engineer?

Systems engineers are professionals who design, integrate, and manage complex systems throughout their life cycles. They work across various industries, ensuring that all aspects of a project or system—hardware, software, processes, and people—work together efficiently and effectively. Systems engineers coordinate between different engineering teams, address technical and organizational challenges, and ensure requirements are met. Their role often involves both big-picture thinking and attention to detail to deliver reliable and scalable solutions.

What does a systems engineer do?

The role of a systems engineer varies based on the company they work for, but in every industry systems engineers use computerized systems to keep track of all the moving parts within their organizations. The term systems engineer usually refers to a computer systems engineer, which combines several disciplines to create, purchase, and install a computer system that suits the needs of each particular client. They will also work in a hands-on manner during the installation, acquisition, testing, and implementation phases of the project. Duties typically include making recommendations for scalability, troubleshooting any problems that arise during the use of the system, reviewing a company’s security requirements, and recommending security measures to allow the company to avoid compromising any sensitive data.

What are the key skills and qualifications needed to thrive as a systems engineer, and why are they important?

To thrive as a Systems Engineer, you need a strong background in systems architecture, troubleshooting, and integration, typically supported by a degree in computer science or engineering. Familiarity with operating systems (like Linux and Windows), virtualization platforms, scripting languages, and certifications such as CompTIA, Cisco (CCNA), or Microsoft (MCSA) are commonly required. Strong problem-solving abilities, effective communication, and teamwork make candidates stand out in this role. These skills and qualifications ensure the design, implementation, and maintenance of reliable, scalable systems critical for organizational operations.

How does a systems engineer typically collaborate with cross-functional teams during a project lifecycle?

Systems Engineers often serve as a bridge between various technical and non-technical teams, including software developers, network specialists, project managers, and end users. Throughout a project, they participate in requirements gathering, design reviews, and integration testing, ensuring that each component fits seamlessly within the overall system. Effective communication and documentation are crucial, as Systems Engineers must translate complex technical concepts into actionable tasks for diverse stakeholders. This collaborative approach not only streamlines problem-solving but also helps deliver robust, scalable solutions.

What is the difference between Systems Engineer vs Network Engineer?

AspectSystems EngineerNetwork Engineer
CertificationsCompTIA Network+, Cisco CCNA, Microsoft certificationsCompTIA Network+, Cisco CCNA, Juniper JNCIA
Work EnvironmentDesigning, implementing, and managing IT systems and infrastructureDesigning, configuring, and maintaining network hardware and connectivity
Industry UsageIT, technology, enterprise solutionsTelecommunications, IT, networking service providers
Common TasksSystem integration, troubleshooting, server managementNetwork setup, routing, switching, security

While both roles involve technical expertise in IT infrastructure, Systems Engineers focus on overall system architecture and integration, whereas Network Engineers specialize in network hardware, connectivity, and security. Understanding these differences helps employers and professionals align skills with job requirements.

Is a systems engineer a high paying job?

Systems engineers typically earn above-average salaries compared to many other technical roles, with compensation varying based on experience, certifications, and location. They often work in industries such as technology, aerospace, and defense, where specialized skills and knowledge of tools like network systems and software are valued. Advanced certifications and experience can lead to higher pay levels in this field.

Is a systems engineer a stressful job?

Systems engineers often face stressful situations due to tight deadlines, complex problem-solving, and the need for high reliability in systems. The role can involve long hours and on-call responsibilities, especially during system outages or critical updates, but it also offers opportunities for problem-solving and technical growth.
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For Systems Engineer jobs in Princeton, NJ, the most frequently searched job titles are:

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Systems Engineer jobs near you
Infographic showing various Systems Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,524 per year, or $64.7 per hour.

AI Systems Engineer

WebMD

Yardley, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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
  • 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
Cloud & Productivity Platforms
  • 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)
AI Systems Engineering & Operations
  • 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.

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