Agentic AI Cybersecurity Engineer - Identity Access Lifecycle Managementgmt

American Express
Phoenix
Workplace: HybridFull timeUSD 103,750 - 174,750 annuallyFunction: CybersecurityExperience: 2+ yearsEducation: bachelorsSkills: ["Collaboration","Stakeholder engagement","Risk-informed decision-making"]

Design, build, and enhance automated control monitoring using agentic AI workflows for identity access lifecycle management. Engineer and analyze control testing outputs and cybersecurity telemetry to track KPIs/KRIs, detect exceptions, and surface control gaps with risk-informed insights. Partner across data, engineering, and technology teams to transform evidence and scale secure, governed AI agents that support self-auditing and continuous control effectiveness.

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FursaFursa
American Express
American Express
3 days ago

Agentic AI Cybersecurity Engineer - Identity Access Lifecycle Managementgmt

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Design, build, and enhance automated control monitoring using agentic AI workflows for identity access lifecycle management. Engineer and analyze control testing outputs and cybersecurity telemetry to track KPIs/KRIs, detect exceptions, and surface control gaps with risk-informed insights. Partner across data, engineering, and technology teams to transform evidence and scale secure, governed AI agents that support self-auditing and continuous control effectiveness.
Location: Phoenix
Workplace: Hybrid
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Design, build, and enhance automated metrics and continuous control monitoring to strengthen control effectiveness.
  • •Develop, configure, test, and maintain AI-enabled agents and automation workflows to evaluate control evidence, identify exceptions, and recommend remediation actions.
  • •Analyze control testing outputs and cybersecurity telemetry to detect trends, anomalies, and emerging risks; translate findings into risk-informed insights for control owners and leadership.
  • •Create dashboards, reports, and data products that provide visibility into control health, self-audit results, exception patterns, and operational risk posture.
  • •Support secure, governed AI agent and workflow implementation aligned to enterprise security standards, risk requirements, control objectives, data protection expectations, and responsible AI practices.

Pay and Benefits

Salary: USD 103,750 - 174,750 annually

Key Requirements

  • •2+ years of experience in cybersecurity, control management, technology risk, audit response, automation engineering, or related disciplines.
  • •Experience designing or supporting automated control testing, continuous control monitoring, automated evidence review, or self-audit capabilities.
  • •Knowledge of AI security concepts, including risks associated with generative AI, model integrity, prompt security, data protection, and responsible use of AI-enabled workflows.
  • •Experience creating or configuring AI agents, automation frameworks, or agentic AI workflows for monitoring, detection, control validation, evidence analysis, and security engineering outcomes.
  • •Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Engineering, Data Analytics, or comparable experience.
Experience:2+ yearsCybersecurityControl managementAutomation engineering
Education:Bachelor's
Skills:CollaborationStakeholder engagementRisk-informed decision-making
Tech Stack:AIAgentic AIGenerative AIAI/MLNLPPythonSQLAPIsWorkflow automationDashboardsConfluenceSharePointSlackTeamsExcelPowerPoint

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn