Lead AI & Automation Engineer – Security & Privacy (Federal Healthcare)

Fathom Management LLC

6d•$145,000 - $160,000•Remote

About The Position

This role supports modernization of security, privacy, and compliance operations within a federal healthcare environment by implementing advanced Artificial Intelligence (AI), machine learning, and automation technologies. Your work will help protect sensitive healthcare data (PII/PHI) while improving operational efficiency and enabling faster response to evolving cyber threats. Fathom Management, Inc. is seeking a Lead AI & Automation Engineer to design and deploy AI-driven security and privacy automation solutions supporting federal healthcare programs. This role combines AI engineering, machine learning, cybersecurity analytics, and automation development to enhance security monitoring, compliance validation, and privacy operations. The ideal candidate will have hands-on experience building generative AI solutions, RAG-based chatbots, and machine learning models integrated with SIEM platforms such as Splunk. You will collaborate with security teams, compliance stakeholders, and engineering teams to develop intelligent systems that automate document review, detect security anomalies, and support responsible AI governance.

Requirements

Hands-on AI/ML engineering experience, including generative AI, RAG architectures, and predictive modeling.
Experience integrating machine learning models into SIEM or security analytics platforms such as Splunk.
Strong experience with automation engineering, CI/CD pipelines, and version control systems.
Familiarity with federal cybersecurity and privacy frameworks, including: NIST FISMA HIPAA
Understanding of Section 508 accessibility standards and WCAG 2.1 AA requirements.
Strong communication and collaboration skills working with security, compliance, and engineering teams.
Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
Minimum 5 years of professional experience in AI engineering, automation, cybersecurity analytics, or related disciplines

Nice To Haves

Experience working in regulated industries or federal environments is preferred.

Responsibilities

Design and implement AI-powered automation solutions to improve security and privacy operations.
Build and manage an Agile AI development framework, including sprint planning, backlog refinement, and CI/CD pipelines.
Develop and maintain an AI-powered RAG chatbot that supports real-time security and privacy inquiries.
Implement machine learning models within SIEM platforms (e.g., Splunk) to detect: security anomalies insider threats emerging attack patterns
Deploy AI-driven analytics that improve threat detection and incident response.
Develop AI tools to automate document review and classification for PII/PHI exposure.
Build automated workflows that validate compliance with NIST, FISMA, HIPAA, and internal governance policies.
Use generative AI technologies to: Summarize Security Incidents Automate workflow documentation Generate training materials Accelerate policy and SOP creation.
Support AI governance frameworks, including model monitoring, validation, and risk assessment.
Ensure all AI tools comply with Section 508 accessibility standards and WCAG 2.1 AA guidelines.
Develop documentation and training supporting responsible and secure AI usage in federal environments.