Lead AI Security Engineer (Hybrid)

Envestnet

Missouri

Hybrid

USD 139,000 - 173,000

Full time

14 days+

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Job summary

Envestnet in Berwyn, IL, is seeking an Information Security Engineer to strengthen our security posture across cloud and AI platforms. You will assess risks, implement controls, and collaborate with product, operations, and business stakeholders to secure our WealthTech solutions.

This role emphasizes adversarial testing, threat assessment, and integration of AI security measures, with a hybrid work model and competitive compensation.

Qualifications

  • Experience in security engineering across enterprise environments.
  • Cloud and application security expertise with practical implementations.
  • Hands-on securing AI/ML systems and AI-enabled apps.
  • Knowledge of AI governance, RAG, and LLM integrations.

Responsibilities

  • Assess security landscape using automation and offensive security techniques.
  • Integrate continuous monitoring and validation into cloud/on-prem workloads.
  • Lead information security engineering projects or provide direction.
  • Analyze risks to information systems and propose innovative solutions.
  • Implement changes to procedures to enhance security posture.
  • Guard AI platforms and agent-based workflows through architecture reviews.
  • Develop AI security monitoring, detection, and incident response capabilities.

Skills

Security engineering
Cloud security
AI security
Threat modeling
Adversarial testing
Analytical skills
Communication skills

Education

Bachelor’s degree in Computer Science, Information Security, Engineering, or related field

Tools

AWS Bedrock
Claude
Microsoft Copilot
GitHub Copilot
Kiro
MCP integrations

Job description

Envestnet in Berwyn, IL, is seeking an Information Security Engineer to strengthen our security posture across cloud and AI platforms. You will assess risks, implement controls, and collaborate with product, operations, and business stakeholders to secure our WealthTech solutions.

This role emphasizes adversarial testing, threat assessment, and integration of AI security measures, with a hybrid work model and competitive compensation.

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