Senior AI Security Engineer- REMOTE

Senior AI Security Engineer- REMOTE

Posted 1 week ago by SR Partners LLC

Negotiable
Undetermined
Remote
Remote or Hybrid in New York, New York

Summary: The Senior AI Security Engineer role requires over 8 years of experience in software or machine learning engineering, with a focus on security applications in AI. The position is remote and emphasizes expertise in Python, machine learning frameworks, and AWS security services. Candidates should also possess a solid understanding of security frameworks and compliance, particularly in healthcare.

Key Responsibilities:

  • Develop and implement security measures for AI applications.
  • Utilize Python and ML frameworks to enhance security protocols.
  • Conduct threat modeling and maintain SOC workflows.
  • Manage AWS security services and Kubernetes security.
  • Ensure compliance with HIPAA and other healthcare regulations.

Key Skills:

  • 8-10 years of experience in software or ML engineering.
  • 3+ years in security or security-adjacent AI use cases.
  • Strong hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
  • Experience with NLP and LLM frameworks (Lang Chain, Hugging Face).
  • Deep AWS expertise, including IAM, Guard Duty, Security Hub, CloudTrail, VPC, KMS.
  • Kubernetes security experience (RBAC, network policies, pod security standards).
  • Experience with large-scale data platforms (Spark, Kafka, S3/data lakes, SQL systems).
  • Working knowledge of HIPAA, PHI handling, and healthcare compliance frameworks.
  • Bachelor's degree in Computer Science, Cybersecurity, Data Science, or equivalent experience.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: Senior AI Security Engineer

Experience: 8+ Years

Location: - Boston, MA(Remote)

Required Qualification:

8 10 years of experience in software or ML engineering, with 3+ years in security or security adjacent AI use cases

Strong hands-on experience with Python, ML frameworks (PyTorch, TensorFlow, scikit-learn), and production ML pipelines

Experience with NLP and LLM frameworks (Lang Chain, Hugging Face)

Solid understanding of OWASP Top 10, MITRE ATT&CK, threat modeling, and SOC workflows

Deep AWS expertise, including IAM, Guard Duty, Security Hub, CloudTrail, VPC, KMS

Kubernetes security experience (RBAC, network policies, pod security standards)

Experience with large-scale data platforms (Spark, Kafka, S3/data lakes, SQL systems)

Working knowledge of HIPAA, PHI handling, and healthcare compliance frameworks

Bachelor's degree in Computer Science, Cybersecurity, Data Science, or equivalent experience


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