Director, AI Engineering

MSD • Rahway, NJ

4d • Hybrid

About The Position

The Director, Cyber AI Engineering is a senior technical leader responsible for architecting and delivering production-grade AI systems that power autonomous cyber defense and enterprise security automation. Reporting to the Director of Cyber AI & Automation, this role leads the design and implementation of scalable AI decision engines, behavioral analytics systems, and agent-based automation integrated directly into enterprise security platforms. This is a hands-on technical leadership role. The Director will design systems, guide engineering execution, and ensure AI capabilities are production-ready, governed, and safely integrated into enforcement workflows.

Requirements

• 10+ years of experience in AI engineering, data science systems, or large-scale analytics platforms.
• Proven experience architecting and deploying production AI systems.
• Strong expertise in Python and distributed data systems.
• Experience designing high-scale data pipelines and cloud-native architectures.
• Deep understanding of anomaly detection, behavioral modeling, or dynamic risk scoring.
• Experience leading technical teams and complex system integration efforts.
• Advanced degree in Computer Science, Engineering, or related discipline (MS required; PhD strongly preferred).

Nice To Haves

• Experience in cybersecurity analytics or cyber risk platforms.
• Experience with Microsoft Defender XDR, Sentinel, or similar enterprise security platforms.
• Experience integrating AI outputs into automated enforcement systems.
• Background in systems engineering, operations research, or large-scale network analytics.
• Experience operating in regulated or mission-critical environments.

Responsibilities

• AI Systems Architecture Design scalable AI architectures capable of ingesting and reasoning over high-volume enterprise telemetry.
• Lead engineering of behavioral analytics, anomaly detection, and risk scoring models.
• Define technical patterns for AI integration into enforcement platforms.
• Autonomous Decisioning & Enforcement Integration Architect AI decision engines that drive conditional actions (e.g., isolation logic, adaptive controls, escalation workflows).
• Ensure safe deployment through guardrails, kill switches, rollback mechanisms, and critical system protections.
• Collaborate with Platform Engineering to operationalize AI outputs in Defender XDR, Sentinel, and related systems.
• Advanced Data & Model Engineering Guide large-scale data fusion across identity, endpoint, cloud, and threat intelligence telemetry.
• Establish model evaluation, validation, and performance monitoring frameworks.
• Optimize systems for performance, scalability, and resilience at enterprise scale.
• Agentic AI & Automation Systems Lead development of multi-agent AI systems for operational optimization and workflow automation.
• Establish standards for prompt engineering, reasoning reliability, and agent evaluation.
• Translate complex operational challenges into structured AI solutions.
• Technical Leadership Serve as senior technical authority within the Cyber AI Engineering vertical.
• Mentor AI and data engineers in production systems design.
• Contribute to roadmap definition and technical prioritization.
• Communicate system design and risk tradeoffs to senior stakeholders as needed.

Benefits

• The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
• We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees