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Ernst & Young

Global professional services: consulting, assurance, tax

Frontier AI - IAM Automation Engineer

Security Engineering & ArchitecturePosted on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Strong IAM engineering expertise across authentication, authorization, federation, multifactor authentication, single sign-on, identity lifecycle management, OAuth 2.0, OpenID Connect, SAML, and Zero Trust.
  • Advanced hands-on experience with Microsoft Entra ID, including application, workload, and non-human identities, federated credentials, service principals, managed identities, least privilege, and credential management.
  • Advanced enterprise automation experience using Azure Automation, Logic Apps, Azure Functions, Power Platform, Ansible, and Azure CLI, with the ability to create scalable, reusable automation solutions.
  • Strong knowledge and hands-on experience with Agentic AI architectures and AI/ML solutions, including multi-agent systems, large language model orchestration, tool-enabled agents, human-in-the-loop patterns, AI security, and applications within IAM, cybersecurity, or enterprise automation.
  • Experience designing integrations using Model Context Protocol, REST APIs, JSON, OAuth/OIDC, and Microsoft Graph API or equivalent orchestration and tool-integration standards.
  • Strong software engineering and scripting skills in one or more technologies such as Python, PowerShell, Node.js, React.js, .NET, Bash, or Ruby.
  • Experience securing secrets, keys, and certificates with Azure Key Vault, CyberArk, or comparable platforms, combined with observability, threat detection, monitoring, and incident-response integration using Microsoft Sentinel or similar services.
  • Advanced experience with Infrastructure as Code, DevSecOps, and CI/CD using Terraform, ARM templates, CloudFormation, Azure DevOps, GitHub Actions, Jenkins, or GitLab CI, including secure code, credential, and deployment controls.
  • Ability to design secure, scalable, available, resilient, maintainable, and supportable solutions, with strong troubleshooting and root-cause-analysis skills across IAM, cloud, automation, containers, and application integrations.
  • Strong technical leadership, mentoring, documentation, and stakeholder-management skills, with knowledge of secure SDLC, ITSM, change management, production support, and operational readiness while remaining a hands-on engineer.
  • A degree in Computer Science, Information Technology, Cybersecurity, or a related discipline, or equivalent practical experience.
  • Seven or more years of relevant technology experience, including substantial experience in IAM, authentication engineering, access management, security engineering, or enterprise identity platforms.
  • Four or more years of hands-on cloud automation or software engineering experience using scripting, APIs, DevOps, and Infrastructure as Code, including enterprise-scale IAM automation across cloud, hybrid, or distributed environments.
  • Around two years of hands-on experience developing, integrating, or deploying AI/ML, Generative AI, or Agentic AI solutions, preferably within IAM, cybersecurity, cloud, or enterprise automation.
  • Demonstrated experience with enterprise authentication, authorization, identity protocols, and access-management solutions.
  • Experience leading technical design and implementation through development, testing, production deployment, and operational transition, including architecture documentation and resolution of complex cross-technology issues.
  • Ability to assess technical trade-offs, translate security, architecture, and business requirements into practical solutions, and work effectively independently and through technical leadership within globally distributed, multidisciplinary, and multicultural teams.

Responsibilities

  • Lead the design and development of complex IAM automation and Agentic AI solutions using Azure Automation, Logic Apps, Functions, Power Platform, Ansible, Azure CLI, ARM templates, Copilot Studio and Foundry, together with PowerShell, Python, Node.js, React.js, and .NET.
  • Architect AI-augmented IAM capabilities, including multi-agent workflows, orchestration patterns, adaptive access control, predictive threat detection, identity analytics, and intelligent workflow automation.
  • Establish reusable frameworks, engineering standards, and guardrails for scalable, resilient, maintainable, observable, secure, and operationally supportable IAM automation and AI capabilities.
  • Provide technical leadership across Microsoft Entra ID, M365, workload identities, federated credentials, authentication, authorization, session management, token protection, certificates, and secrets management.
  • Design secure integrations using REST APIs, Microsoft Graph API, Model Context Protocol, and related standards, with appropriate identity, authorization, and security controls for AI agents, applications, and workloads.
  • Apply Zero Trust and least-privilege principles to machine-to-machine and agent-to-service interactions, including secure credential, certificate, and secrets management.
  • Automate IAM security, compliance, and audit controls and establish logging, monitoring, alerting, and incident-response integrations using Azure Monitor, Microsoft Sentinel, or comparable platforms.
  • Design and maintain secure CI/CD, DevSecOps, and Infrastructure as Code patterns using Azure DevOps, GitHub Actions, Terraform, ARM templates, or equivalent technologies, with appropriate testing and deployment controls.
  • Conduct architecture, technical design, and code reviews; guide engineers on IAM, automation, software engineering, DevSecOps, and Agentic AI implementation practices.
  • Serve as the technical escalation point for complex IAM automation and AI issues, leading root-cause analysis and working with engineering, architecture, and vendors such as Microsoft, Ping, and Auth0 to resolve systemic problems.
  • Advise internal clients on applying Agentic AI to IAM processes to improve automation, security, user experience, and operational efficiency while reducing risk.
  • Evaluate emerging AI, identity, and automation technologies through prototypes and reusable patterns, assessing design alternatives, technical trade-offs, and architectural, security, or operational risks.
  • Plan and lead delivery across development, testing, and production, ensuring appropriate documentation, monitoring, support models, operational readiness, and successful transition to operations.
  • Build trusted stakeholder relationships, translate business and security requirements into practical solutions, identify dependencies and risks early, and mentor engineers through knowledge sharing, technical standards, and leading practices.

Desired Qualifications

  • Deep hands-on experience with the Microsoft Entra ID and Azure ecosystem, including Azure DevOps, Microsoft Graph, CI/CD, and infrastructure automation.
  • Hands-on experience with Agentic AI frameworks such as Semantic Kernel, LangChain, LangGraph, CrewAI, AutoGen, Copilot Studio, or Foundry, including MCP servers, clients, or equivalent patterns for securely exposing enterprise tools to AI agents.
  • Experience implementing secure identity and authorization patterns for AI agents and workload identities, including AI governance, security, and responsible-AI considerations for production solutions.
  • Experience designing reusable automation platforms, frameworks, APIs, and shared engineering capabilities rather than only individual scripts.
  • Strong knowledge of OAuth 2.0, OpenID Connect, SAML, SCIM, and related identity protocols, together with identity threat detection, Conditional Access, identity analytics, and Zero Trust architectures.
  • Experience with CyberArk, Azure Key Vault, or comparable secrets and privileged-access-management platforms in large-scale, globally distributed IAM environments.
  • Relevant certifications in areas such as Microsoft Azure, Identity, Security, DevOps, AI/ML, Automation, or ITIL.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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