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Senior Information Security Engineer Consultant

Optum
IND
Full-time
Onsite
Discovered 1 months ago
Generative AIArtificial intelligenceMachine learningStatistical modelingData scienceData engineering

Full Job Posting

Company overview

Optum delivers care, pharmacy benefits, data, and resources supported by technology.

The organization emphasizes health optimization, inclusion, career development, and improving health outcomes.

GenAI and AI Security Program

The program safeguards data, mitigates risks, and promotes responsible AI usage across the enterprise.

It supports secure Generative AI deployment through security policies, regulatory requirements, industry practices, governance, oversight, and technical controls.

Primary responsibilities

  • Design and implement secure, scalable AI solutions and security capabilities.
  • Assess AI systems, architectures, and use cases for security and privacy risks.
  • Translate policies, standards, and regulatory requirements into technical controls.
  • Develop automation, monitoring, and detection capabilities for AI environments.
  • Partner with engineering, security, risk, and business teams on AI security needs.
  • Produce technical documentation and evidence for governance and audit readiness.
  • Provide technical leadership, best practices, and AI security education.
  • Work from the office five days per week on a 3:30 PM to 1:00 AM shift.

Required qualifications

  • At least 5 years delivering statistical models, machine learning, or artificial intelligence solutions in a large organization.
  • At least 5 years of real-world data science experience in or supporting a large organization.
  • At least 5 years of real-world data engineering experience.
  • At least 5 years of software development experience using Python and SQL.
  • At least 2 years of Generative AI experience.

Preferred qualifications

  • Cybersecurity experience, ideally as a Security Operations Center analyst.
  • Customer-facing experience.
  • Knowledge of adversarial AI threats, including model inversion and data poisoning.
  • Knowledge of secure model lifecycle management and broad information technology concepts.
  • Familiarity with NIST AI Risk Management Framework, OWASP AI Security, or MITRE ATLAS.
  • Proficiency in data querying and reporting.
  • Ability to stay current with emerging threats and evolving AI technologies.
  • Strong written and verbal communication skills for diverse stakeholders.

Work arrangement

  • The role requires working from the office all five days of the week.
  • The stated shift timing is 3:30 PM to 1:00 AM.

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