Generative AI Safety & Compliance Officer

myBridge Corporation

Washington, Northern (District of Columbia, KY)

On-site

USD 128,000 - 173,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance

Job summary

CodeSphere LLC in Washington, DC seeks a Generative AI Safety & Compliance Officer to oversee governance of LLMs and generative deployments across enterprise products.

You will build guardrails for hallucinations, prompt injection, and bias while ensuring GDPR, CCPA, and HIPAA privacy compliance in training and fine-tuning pipelines. Collaboration with researchers, legal teams, and product managers is essential.

Qualifications

  • Bachelor’s or Master’s degree in AI, cybersecurity, data science, or law & technology.
  • Must understand ethics, governance, and regulatory frameworks.

Responsibilities

  • Oversee governance of LLMs and generative model deployments across enterprise products.
  • Build guardrails against hallucination, prompt injection, and bias.
  • Ensure data privacy compliance (GDPR, CCPA, HIPAA) in training and fine-tuning pipelines.
  • Conduct red-teaming exercises and audit synthetic data generation.

Skills

Red-teaming
AI governance
RAG security
Privacy & compliance
Model evaluation

Education

Bachelor's or Master’s in AI/CS/Data Science/Law & Technology

Tools

Python
LangChain
LlamaIndex
model evaluation toolkits

Job description

Generative AI Safety & Compliance Officer

CodeSphere LLC

Washington, District of Columbia, United States

$150,000 Annually

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

Full-Time | Hybrid

Why work here

Good place to work

Generative AI Safety & Compliance Officer

CodeSphere LLC

Washington, District of Columbia, United States

Job Description: The Generative AI Safety & Compliance Officer oversees the ethical, regulatory, and technical governance of LLMs and generative model deployments across enterprise products. You will build guardrails against hallucination, prompt injection, and bias, while ensuring data privacy (GDPR, CCPA, HIPAA) compliance in training and fine-tuning pipelines. Working alongside AI researchers, legal teams, and product managers, you will conduct red-teaming exercises, create model risk assessment frameworks, and audit synthetic data generation.

Key Skills
  • Red-teaming methodologies for Large Language Models (LLMs)
  • AI governance frameworks (NIST AI RMF, EU AI Act standards)
  • Vector databases and Retrieval-Augmented Generation (RAG) security
  • Data anonymization, differential privacy, and toxicity filtering
  • Python, LangChain, LlamaIndex, and model evaluation toolkits
Education

Bachelor’s or Master’s Degree in Artificial Intelligence, Cybersecurity, Data Science, or Law & Technology

1234 Tech Drive, Suite 500, San Francisco, CA 94105, USA, United States

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