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Privacy Engineer Jobs in Atlanta, GA (NOW HIRING)

Ensure data quality, integrity, lineage, metadata management, security, privacy, retention, and ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Ensure data quality, integrity, lineage, metadata management, security, privacy, retention, and ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Ensure data quality, integrity, lineage, metadata management, security, privacy, retention, and ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

Ensure data quality, integrity, lineage, metadata management, security, privacy, retention, and ... Automate data processes using data engineering best practices, CI/CD methods, version control ...

As a Product Security Engineer, you will be involved in efforts to support and influence ... Implement and maintain security and privacy strategy and requirements, aligned with the company ...

Software Engineer Sr. Lead

Atlanta, GA · On-site

$140 - $190/hr

Mentor and coach engineers, setting standards for code quality and engineering excellence ... Competitive salary and benefits Privacy Statement FIS is committed to protecting the privacy and ...

AI Engineer Location: Apharetta, GA / Berkley Heights , NJ/ Englewood Cliffs, NJ (onsite role) Mode ... Knowledge of Responsible AI practices (privacy, bias, safety, transparency) and implementing human ...

Devops Engineer

Alpharetta, GA · On-site

$51.50 - $70.50/hr

... s Engineer Location: Berkeley Heights, NJ / Alpharetta, GA(5days onsite) Employment Type ... You understand the importance of change management, audit trails, and data privacy in a regulated ...

Collaborate crossfunctionally with Security, Privacy, GRC, Engineering, and Business teams to ... ensure solutions align with trust, compliance, and scalability standards * Navigate ambiguity ...

Showing results 41-60

Privacy Engineer information

See Atlanta, GA salary details

$19

$67

$121

How much do privacy engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for privacy engineer in Atlanta, GA is $67.55, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $78.53 per hour, depending on experience, location, and employer.

What does a privacy engineer do?

A Privacy Engineer designs, implements, and maintains systems that protect user data and ensure compliance with privacy regulations. They work closely with legal, security, and engineering teams to embed privacy controls into products and services. Their responsibilities include data protection assessments, privacy-preserving technologies, and automating compliance processes.

What skills and qualifications are needed to be a privacy engineer?

A Privacy Engineer typically needs a solid foundation in computer science, data security principles, and privacy regulations such as GDPR and CCPA, often supported by a relevant degree or certification. Familiarity with tools such as data loss prevention (DLP) systems, encryption protocols, and privacy impact assessment (PIA) frameworks is highly valued, as well as certifications like CIPP or CIPT. Strong communication, analytical thinking, and cross-functional collaboration are essential soft skills that help Privacy Engineers navigate complex requirements and work effectively with legal, IT, and product teams. These competencies are crucial for ensuring that privacy is embedded into systems and processes, mitigating risks, and maintaining compliance in a rapidly evolving digital landscape.

What are popular job titles related to Privacy Engineer jobs in Atlanta, GA? For Privacy Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Privacy Engineer jobs in Atlanta, GA look for? The top searched job categories for Privacy Engineer jobs in Atlanta, GA are:
Infographic showing various Privacy Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $140,494 per year, or $67.5 per hour.

AI Trust & Guardrail Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 5 days ago


Job description

Overview:
Job Title: AI Trust & Guardrail Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: Trust is the ultimate hurdle in deploying autonomous systems. R2 Technologies is looking for an AI Trust & Guardrail Engineer to ensure our intelligent agents operate safely, ethically, and securely. You will build the definitive guardrails that prevent autonomous systems from executing destructive commands, leaking Personally Identifiable Information (PII), or hallucinating critical data, ensuring that all our AI deployments meet strict regulatory and compliance standards.
Key Responsibilities: * Design and implement robust semantic routing and filtering systems to intercept, evaluate, and block toxic, biased, or non-compliant LLM inputs and outputs.
  • Deploy and configure framework-level safety layers like NeMo Guardrails or Llama Guard to constrain agentic behaviors and restrict unauthorized tool execution.
  • Develop automated red-teaming and prompt-injection testing frameworks to continuously probe production models for vulnerabilities.
  • Map AI system architectures against enterprise compliance requirements (e.g., HIPAA, GDPR, SOC2), ensuring data privacy within RAG pipelines and model context windows.
  • Build audit trails and transparency logs that explain AI decision-making processes for business stakeholders and compliance audits.
  • Actively utilize AI-assisted coding tools to generate test cases, evaluate edge-case scenarios, and script automated compliance checks.

Qualifications: * Up to 3 years of experience in Cybersecurity, Application Security, AI/ML Engineering, or Risk & Compliance tech.
  • Deep understanding of LLM vulnerabilities (e.g., prompt injection, jailbreaking, data exfiltration) and mitigation strategies.
  • Hands-on experience with AI safety frameworks (NeMo Guardrails, specialized moderation models).
  • Familiarity with data privacy regulations and how they apply to modern AI architectures and vector databases.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.

Strong programming skills (Python) and the ability to collaborate effectively with both engineering and legal/compliance teams.