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

AI EngineerMachine Learning EngineerFull TimeRemoteLeadTeam 1

Location

United States

Posted

3 days ago

Salary

$145K - $160K / year

Seniority

Lead

PythonMachine LearningGenerative AIRAGSplunkSIEMCI/CDAutomationNISTFISMAHIPAASection 508WCAGGitSOARTensorFlowPyTorchPandasScikit-learnREST APIDockerKubernetes

Job Description

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


Remote | Occasional Travel to Washington, DC

Supporting Federal Healthcare Security & Privacy Programs

Full-Time

Salary: $145,000 - $160,000 annually (based on experience)


Mission Impact

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.


Position Overview

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.


Technology Stack

Generative AI, Retrieval-Augmented Generation (RAG), Machine Learning, Splunk SIEM, SOAR Platforms, CI/CD Pipelines, Python, Automation Frameworks, NIST/FISMA Compliance, HIPAA Security Standards


Key Responsibilities

AI Engineering & Automation Development

  • 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.

Machine Learning & Security Analytics

  • 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.

AI-Driven Compliance & Document Automation

  • 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.

Responsible AI Governance

  • 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.

Required Qualifications

  • 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.
  • Experience working in regulated industries or federal environments is preferred.

Minimum Requirements

  • 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

Benefits & Career Growth

At Fathom Management, Inc., we provide a comprehensive benefits package designed to support employee well-being, financial security, and professional development.

Employee Benefits Include

  • Paid vacation, sick leave, and company holidays
  • Medical, dental, and vision insurance
  • Life insurance coverage
  • Short-term and long-term disability insurance
  • 401(k) retirement plan with company match and immediate vesting
  • Military leave benefits
  • Training and professional development opportunities
  • Tuition reimbursement programs
  • Employee wellness initiatives
  • Commuter benefits
  • Additional voluntary benefits

About Fathom Management, Inc.

Fathom Management, Inc. supports federal healthcare and technology modernization initiatives that improve security, privacy, and digital service delivery. Our teams specialize in AI engineering, cybersecurity analytics, digital transformation, and program delivery supporting government agencies responsible for protecting sensitive healthcare information.

Joining Fathom Management means contributing to mission-critical programs that safeguard healthcare data and improve public-sector technology capabilities.


Equal Employment Opportunity (EEO) Statement

Fathom Management, Inc. is committed to providing equal employment opportunities to all employees and applicants.

All employment decisions-including recruiting, hiring, training, promotion, compensation, benefits, and termination-are made without regard to race, color, religion, creed, national origin, sex, age, marital status, sexual orientation, gender identity, citizenship status, veteran status, disability, or any other characteristic protected by applicable federal, state, or local law.


Job 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, and 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.
  • Experience working in regulated industries or federal environments is preferred.
  • 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.

Benefits

  • Paid vacation, sick leave, and company holidays.
  • Medical, dental, and vision insurance.
  • Life insurance coverage.
  • Short-term and long-term disability insurance.
  • 401(k) retirement plan with company match and immediate vesting.
  • Military leave benefits.
  • Training and professional development opportunities.
  • Tuition reimbursement programs.
  • Employee wellness initiatives.
  • Commuter benefits.
  • Additional voluntary benefits.

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