Lead Workstation Agentic AI Engineer

Job Description

S&P Global Corporate

The Role: Lead Workstation Agentic AI Engineer

The Team: Endpoint Management is part of the Digital Experience team. Our global team focuses on providing architectural and engineering services for S&P Global’s desktops, laptops, mobile devices, print services, and productivity applications.

What’s in it for you:

This position will provide an opportunity to expand your experience to all the technologies serviced by the Endpoint Management team and to work on state-of-the-art technologies used in the end-user computing space. You will work on projects and initiatives that will directly impact S&P Global’s employees and will expand your knowledge of our business and how Digital Experience’s technology enables the business.

Responsibilities:

• Architect and develop advanced vulnerability management solutions using Agentic AI frameworks and machine learning algorithms to automatically identify, prioritize, and orchestrate remediation workflows across enterprise workstation environments
• Design and implement automated CVE (Common Vulnerabilities and Exposures) response systems with real-time threat intelligence integration, including CVSS scoring automation and patch deployment orchestration
• Lead technical architecture decisions for endpoint security infrastructure, including integration with SIEM platforms, threat intelligence feeds, and enterprise security orchestration tools
• Develop comprehensive vulnerability assessment frameworks using PowerShell, Python, and REST APIs to interface with Microsoft Intune, Configuration Manager, and third-party endpoint management platforms
• Engineer advanced analytics and reporting solutions using data visualization platforms and business intelligence tools to provide executive-level vulnerability posture dashboards and risk metrics
• Establish DevSecOps practices for vulnerability management, including CI/CD pipeline integration, automated testing frameworks, and infrastructure-as-code deployment methodologies
• Engineering support and engagement with partners and stakeholders.
• Collaboration with business stakeholders, IT teams, Information Security, and Risk.
• Ensure product engineering and lifecycle for workstation platforms.
• Act as an SME on additional infrastructure projects.
• Oversee and help drive the implementation of key enterprise initiatives related to workplace productivity technologies.
• Work collaboratively with other members of Workplace Services to influence future technology decisions.

What we’re looking for:

Basic Qualification:

• Bachelor’s degree preferred.
• 10 or more years of experience providing planning and engineering support for at least one of the end-user computing technologies mentioned above.
• Strong skills in Agentic AI agent development
• Expertise in Microsoft Intune
• Proficient scripting skills in managing End User Compute infrastructure and endpoints
• Experience with:
• Desktop hardware technology, specifically Dell, Lenovo, and Apple
• Nexthink or similar performance management platforms
• Mobile platforms, Intune, IOS, and Android
• Strong communication skills (verbal, written, and presentation).
• Ability to prioritize and manage multiple activities and projects.

Right to work requirements:

This role is open only for candidates with indefinite right to work within the US.

The Location: Princeton NY or NYC (2 days onsite per week)

Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $120,000 – $180,000. Final base salary for this role will be based on the individual’s geographical location as well as experience and qualifications for the role.

In addition to base compensation, this role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.