ZipRecruiter

Log In

1

Security Engineer Jobs in Perry Hall, MD (NOW HIRING)

Deloitte

AI Security Engineer Manager

Baltimore, MD · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Leidos

Information Systems Security Engineer

Linthicum, MD · On-site

$107K - $195K/yr

Leidos is currently seeking an Information Systems Security Engineer to support our customer onsite. The ISSE shall perform, or review, technical security assessments of computing environments to ...

previous pagenext page

Showing results 21-40

All JobsSecurity Engineer JobsSecurity Engineer Jobs in Perry Hall, MD

Security Engineer information

See Perry Hall, MD salary details

$58.7K

$145.9K

$196.2K

How much do security engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for security engineer in Perry Hall, MD is $145,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,500.00 and $151,300.00 per year, depending on experience, location, and employer.

What is a security engineer?

A service provider is responsible for delivering professional quality services on behalf of a business or organization. The types of services vary depending on the businesses they work with. Many companies partner with experts in the local community to perform functions on their behalf rather than developing the expertise in-house. A service provider performs the services based on a written legal agreement and charges fees for their work.

How does a security engineer typically collaborate with other IT teams within an organization?

Security Engineers work closely with various IT teams such as network administrators, software developers, and system administrators to ensure security protocols are integrated at every level. This collaboration often involves conducting security assessments, reviewing code for vulnerabilities, and assisting with incident response. Regular meetings and cross-functional projects are common, as Security Engineers provide guidance on best practices and help teams understand potential threats. Effective communication and teamwork are key, as security is a shared responsibility across the organization.

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

To thrive as a Security Engineer, you need expertise in information security principles, network architecture, vulnerability assessment, and commonly a degree in computer science or a related field. Familiarity with tools like SIEM systems, firewalls, intrusion detection/prevention systems, and certifications such as CISSP or CEH are typically required. Strong problem-solving skills, attention to detail, and effective communication set outstanding Security Engineers apart. These competencies are essential to proactively protect organizations from cyber threats, ensure compliance, and minimize security risks.

What is the difference between Security Engineer vs Network Security Specialist?

AspectSecurity EngineerNetwork Security Specialist
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, Cisco CCNA Security, CISSP
Work EnvironmentDesigning, implementing, and maintaining security systems across IT infrastructureMonitoring, analyzing, and securing network traffic and infrastructure
Employer & Industry UsageTech companies, finance, government agenciesTelecommunications, enterprise networks, cybersecurity firms

Security Engineers focus on developing and deploying security solutions across IT systems, while Network Security Specialists concentrate on protecting network infrastructure and traffic. Both roles require similar certifications and often work together to ensure comprehensive security.

Do security engineers need a degree?

Security engineers typically do not require a formal degree but often benefit from a background in computer science, information technology, or related fields. Many employers value certifications such as CISSP, CEH, or Security+ and practical experience with security tools and protocols. Continuous learning and hands-on skills are important in this role.

How much do security engineers earn?

Security engineers typically earn a median annual salary ranging from $90,000 to $130,000, depending on experience, location, and certifications such as CISSP or CEH. Entry-level positions may start lower, while experienced professionals with specialized skills can earn over $150,000 annually.

What do you do as a security engineer?

A security engineer designs, implements, and maintains security systems to protect an organization’s networks, systems, and data from cyber threats. They analyze vulnerabilities, develop security protocols, and often use tools like firewalls, intrusion detection systems, and encryption. Certifications such as CISSP or CEH can enhance their effectiveness in this role.
More about Security Engineer jobs

What are the most commonly searched types of Security Engineer jobs in Perry Hall, MD?

The most popular types of Security Engineer jobs in Perry Hall, MD are:

What are popular job titles related to Security Engineer jobs in Perry Hall, MD?

For Security Engineer jobs in Perry Hall, MD, the most frequently searched job titles are:

What cities near Perry Hall, MD are hiring for Security Engineer jobs?

Cities near Perry Hall, MD with the most Security Engineer job openings:

Security Engineer jobs near you
Infographic showing various Security Engineer job openings in Perry Hall, MD as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $145,881 per year, or $70.1 per hour.

AI Security Engineer Manager

Baltimore, MD • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

Full-time

Re-posted 2 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services

Job description

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.

Recruiting for this role ends on 9/19/2026.

Work you'll do

You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.

Key Responsibilities

Secure, Outcome-Driven Delivery
Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.

Hands-On AI Security Engineering
Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.

AI Risk Identification and Mitigation
Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.

Technical Leadership and Advocacy
Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.

Engineering Excellence with Security Focus
Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.

Iterative and Responsible Innovation
Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.

Cross-Functional Collaboration
Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.

Standards and Best Practices
Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Communication and Influence
Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.

Impact

This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
  • Minimum 1 year of people and/or process management experience

Preferred:

  • Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
  • Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
  • Knowledge of data protection, identity/access management, and secure architecture patterns
  • Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
  • Strong communication skills with the ability to translate technical concepts into business-relevant insights

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 to $243,700.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427821

Qualifications:

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.

Recruiting for this role ends on 9/19/2026.

Work you'll do

You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.

Key Responsibilities

Secure, Outcome-Driven Delivery
Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.

Hands-On AI Security Engineering
Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.

AI Risk Identification and Mitigation
Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.

Technical Leadership and Advocacy
Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.

Engineering Excellence with Security Focus
Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.

Iterative and Responsible Innovation
Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.

Cross-Functional Collaboration
Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.

Standards and Best Practices
Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Communication and Influence
Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.

Impact

This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
  • Minimum 1 year of people and/or process management experience

Preferred:

  • Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
  • Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
  • Knowledge of data protection, identity/access management, and secure architecture patterns
  • Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
  • Strong communication skills with the ability to translate technical concepts into business-relevant insights

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A...

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply