Senior Manager, Cybersecurity Engineer - AI & Application Protection

ADP; Roseland (NJ); Hybrid; USD 107,000 - 264,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life Insurance

401k Match

Wellness Program

Disability Insurance

Paid Holidays

Personal Days

Volunteer Time Off

Job summary

ADP is seeking a Senior Manager, Cybersecurity Engineer focused on AI and application protection. You will lead a high-performing team building scalable protections for Generative AI and agentic applications, turning evolving security problems into clear engineering priorities while mentoring engineers and driving production-ready capabilities.

You will partner on GenAI guardrails, LLM security controls, and greenfield AI initiatives, balancing greenfield work with reliability and debt

Qualifications

• Bachelor's degree in computer science, engineering, information technology, cybersecurity, or equivalent experience.
• Significant experience leading software, platform, DevSecOps, or security engineering teams.
• Hands-on experience developing with or leading engineering for Generative AI, including LLM APIs and agentic components.
• Demonstrated ability to grow technical engineers and lead multiple workstreams.
• Strong AI risk knowledge including prompt injection and data exposure.

Responsibilities

• Lead, coach, and develop engineers across AI and application protection engineering.
• Drive GenAI guardrails, LLM security controls, agentic security, and emerging AI workstreams.
• Translate ambiguous security problems into clear priorities and engineering plans.
• Evaluate AI risks and guide practical engineering approaches to mitigate them.
• Collaborate on architecture, design, development, scanner tuning, automation, and production maturity.

Skills

People leadership

GenAI security

LLM security controls

Agentic development security

AI risk assessment

Security mindset

Security engineering

Cloud security

Education

Bachelor's degree in CS/Engineering/IT

Tools

Kubernetes

Docker

AWS

Azure

GCP

Python

TypeScript/JavaScript

Job description

ADP is Hiring a Senior Manager, Cybersecurity Engineer - AI & Application Protection

In this role, you will lead a highly capable engineering team responsible for designing, building, and scaling protective security capabilities for Generative AI, agentic applications, and modern application environments. You will help turn ambiguous and rapidly evolving security problems into clear engineering priorities while developing engineers and creating opportunities for them to contribute in meaningful ways.

You will work closely with engineers on the development and maturity of ADP's GenAI Guardrails and application protection controls while helping drive emerging work in agentic development security, LLM-driven security scanning, security evaluation, developer enablement, and other greenfield AI initiatives. You will be expected to understand the technology deeply enough to challenge assumptions, guide technical decisions, and contribute directly when appropriate.

You will lead a team with responsibilities spanning software development, DevSecOps, security policy and scanner tuning, platform engineering, and application engagement. Our mission is simple - build systems to automate repetition while keeping the human in the loop for novel decisions - so that we can continue to mature at the pace of AI.

This role is ideal for an experienced engineering leader with significant AI and software development experience who enjoys growing people, solving ambiguous technical problems, and helping teams turn new ideas into scalable production capabilities.

Candidates coming from software or platform engineering leadership rather than a dedicated cybersecurity organization are encouraged to apply. Successful candidates will need to demonstrate a strong security mindset, significant practical understanding of AI technologies and risks, and the ability to rapidly develop deeper expertise as the threat and technology landscape evolves.

Responsibilities

• Lead, coach, and develop engineers working across AI and application protection engineering
• Drive execution across GenAI guardrails, LLM security controls, agentic security, application protection, and emerging AI development workstreams
• Translate ambiguous technical and security problems into clear priorities, ownership, and engineering plans
• Help evaluate emerging AI and agentic risks and guide practical engineering approaches to reduce those risks
• Partner closely with engineers on architecture, design, development, scanner and policy tuning, automation, and production maturity
• Manage engineering capacity, priorities, dependencies, delivery, performance, and career development
• Create scalable approaches for engaging application and development teams as adoption grows
• Balance greenfield engineering with reliability, technical debt, operational maturity, and existing production responsibilities
• Provide technical leadership through architecture and design reviews, technical problem solving, and hands‑on contribution when appropriate

To Succeed in This Role

You’ll have a bachelor’s degree in a relevant field such as computer science, computer engineering, information technology, cybersecurity or equivalent experience.

Experience

• Significant experience leading software, platform, DevSecOps, or security engineering teams
• Hands‑on experience developing with or leading engineering for Generative AI, including LLM APIs, agentic systems, RAG, tool use, or similar AI application patterns
• Demonstrated experience developing and growing technical engineers
• Strong understanding of AI risks including prompt injection, unsafe model behavior, sensitive‑data exposure, and tool/agent abuse
• Experience with application security, AI security, or security engineering is preferred
• Experience leading multiple technical workstreams with changing priorities and ambiguous requirements

Technical Skills

• Strong understanding of modern software engineering and the ability to read, review, and discuss production code in languages such as Python, Java, Go, C#, or TypeScript/JavaScript
• Practical understanding of LLM architectures, agentic development patterns, APIs, security controls, and AI evaluation

What are you waiting for?

Find out why people come to ADP and why they stay: https://youtu.be/ODb8lxBrxrY (ADA version: https://youtu.be/IQjUCA8SOoA)

• Experience with modern DevSecOps practices including source control, automated testing, CI/CD, and production deployment
• Experience with public cloud technologies such as AWS, Azure, or GCP
• Experience with containerized services including Kubernetes and Docker
• Strong understanding of APIs, distributed systems, observability, telemetry, and production troubleshooting
• Ability to quickly learn emerging technologies and determine where experimentation should become scalable engineering

Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions.

• Medical
• Dental
• Vision
• Life Insurance
• Matched Retirement Savings
• Wellness Program
• Short-and Long-Term Disability
• Charitable Contribution Match
• Holidays
• Personal Days & Vacation
• Paid Volunteer Time Off
• and more

The compensation for this role is USD $107,400.00 - USD $264,300.00 / Year*

• Actual compensation will not be less than the applicable minimum wage or minimum exempt salary requirement under federal, state and local laws.

A little about ADP:

We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down-to-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition.

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:

ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic including: race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs, and applicant merit including, but not limited to, qualifications, experience, ability, availability, cooperation, and job performance.

Ethics at ADP:

ADP has a long, proud history of conducting business with the highest ethical standards and full compliance with all applicable laws. We also expect our people to uphold our values with the highest level of integrity and behave in a manner that fosters an honest and respectful workplace. Click https://jobs.adp.com/life-at-adp/ to learn more about ADP’s culture and our full set of values.