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Prompt Engineering Security Jobs (NOW HIRING)

Purple Drive Technologies

Prompt Engineer

Mclean, VA · On-site

AI Enablement Governance Define best practices for prompt engineering across teams. Ensure compliance with enterprise security, data privacy, and ethical AI guidelines. Managerial Responsibilities ...

Prologis

AI Security Engineer

Dallas, TX · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Milpitas, CA · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Chicago, IL · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Denver, CO · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Nashville, TN · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Atlanta, GA · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Cerritos, CA · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Seattle, WA · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

Miami, FL · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

Prologis

AI Security Engineer

San Francisco, CA · On-site

$106K - $146K/yr

Partner with engineering teams to enable secure AI development practices, including prompt engineering, API security, and data protection * Assess and mitigate risks related to LLMs, including prompt ...

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Prompt Engineering Security information

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$61.5K

$152.8K

$205.5K

How much do prompt engineering security jobs pay per year?

As of Jun 6, 2026, the average yearly pay for prompt engineering security in the United States is $152,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What is prompt engineering security?

Prompt engineering security involves designing and managing prompts for AI systems, such as large language models, in a way that prevents misuse, data leakage, and adversarial attacks. It focuses on identifying vulnerabilities in how AI models interpret and respond to prompts to ensure that sensitive information is not exposed and that malicious users cannot manipulate the AI into harmful behaviors. This field combines knowledge of AI, cybersecurity, and ethics to create safe, robust interactions between users and AI systems.

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

To thrive as a Prompt Engineering Security specialist, you need expertise in cybersecurity principles, prompt engineering, and natural language processing, often supported by a degree in computer science or related field. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), large language models, and security tools such as penetration testing suites is typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals identify vulnerabilities and articulate risks. These abilities are crucial for protecting AI systems against prompt-based attacks and ensuring the safe deployment of language models.

What is the difference between Prompt Engineering Security vs Prompt Engineering?

AspectPrompt Engineering SecurityPrompt Engineering
Required CredentialsTypically requires knowledge of cybersecurity, AI security protocols, and prompt designFocuses on prompt design, natural language processing, and AI model interaction skills
Work EnvironmentSecurity-focused teams, AI development labs, tech companiesAI research teams, content creation, tech startups
Employer & Industry UsageUsed in cybersecurity firms, AI safety departments, tech companies emphasizing secure AIUsed across AI development, chatbot creation, and NLP-focused organizations

Prompt Engineering Security and Prompt Engineering share core skills in prompt design and AI interaction, but the security variant emphasizes safeguarding AI systems against vulnerabilities, requiring cybersecurity expertise. The standard Prompt Engineering role centers on optimizing prompts for better AI responses without a security focus.

How does a Prompt Engineering Security professional typically collaborate with cross-functional teams to ensure AI system safety?

Prompt Engineering Security professionals regularly work alongside data scientists, machine learning engineers, and cybersecurity experts to assess and mitigate risks associated with AI-generated content. They participate in design reviews, provide guidance on secure prompt design, and help develop protocols for monitoring and responding to security incidents. This collaborative environment ensures that prompt engineering not only meets performance goals but also aligns with organizational security standards, promoting a responsible and resilient AI deployment.
Infographic showing various Prompt Engineering Security job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $152,773 per year, or $73.4 per hour.

Prompt Engineer

Purple Drive Technologies

Mclean, VA • On-site

Full-time

Posted 23 days ago

Job description

Overview:
We are seeking a Prompt Engineer with proven experience in AI-driven solutions and Salesforce AI capabilities (Einstein, Agent force).
The ideal candidate will design, optimize, and implement prompt strategies for generative AI models, ensuring alignment with enterprise standards and delivering measurable business impact.
Preferred Skills:
Salesforce certifications (Administrator, Platform App Builder, AI Specialist).
Familiarity with Copado, Antirabbit, and DevOps tools for Salesforce.
Exposure to cloud platforms (AWS, Azure) and integration patterns.
Prompt Design Optimization
Develop, test, and refine prompts for AI models to achieve accurate, context-aware outputs.
Create reusable prompt libraries and guardrails for enterprise use cases.
Salesforce AI Integration Leverage Salesforce Einstein and Agent force for predictive analytics, conversational AI, and automation.
Collaborate with Salesforce architects to embed AI-driven workflows into CRM processes.AI Enablement Governance
Define best practices for prompt engineering across teams.
Ensure compliance with enterprise security, data privacy, and ethical AI guidelines.
Managerial Responsibilities
Lead and mentor team members, fostering collaboration and continuous learning.
Manage stakeholder relationships and ensure timely delivery of AI initiatives.
Oversee project planning, budgeting, and governance for AI-related programs.
Cross-functional Collaboration Work closely with developers, architects, and business stakeholders to translate requirements into AI solutions.
Conduct workshops and training sessions on effective prompt engineering.

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