Principal Engineer – Agentic Identity Security

Wells Fargo

. Serve as a senior technical leader responsible for defining enterprise architecture and security strategy for agentic identity, including AI agents, autonomous systems, machine identities, workload identities, and other non-human access models .

Posted 9/23/2026full-timeUnited StatesLead💰 $159,000 - $254,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining enterprise architecture and security strategies for agentic identity, including AI agents and autonomous systems. Proficient in designing identity-centric security solutions, establishing governance controls, and integrating identity platforms with cloud and AI ecosystems.

Highest-signal resume keywords

Enterprise ArchitectureIdentity and Access ManagementZero Trust ArchitectureAI Security SolutionsGovernance Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Identity-Centric Security SolutionsAuthentication and Authorization DesignEnterprise Reference ArchitecturesPolicy-Based AuthorizationAI-Assisted Development ToolsOAuthOpenID ConnectSAMLPublic Key InfrastructureSecrets Management

Soft Skills

Communication of Complex ConceptsInfluencing Technical StrategyTechnical Documentation Skills

Tools & Technologies

Microsoft Entra IDAzureAmazon Web ServicesGoogle Cloud PlatformCyberArkSaviynt

Certifications & Qualifications

CISSPCCSPSABSATOGAF

Industry Keywords

AI GovernanceRegulatory ComplianceAuditabilityTraceabilityFinancial Services

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact

Serve as a senior technical leader responsible for defining enterprise architecture and security strategy for agentic identity, including AI agents, autonomous systems, machine identities, workload identities, and other non-human access models
Establish enterprise standards, reference architectures, security patterns, and governance controls for responsible AI innovation, security, accountability, auditability, and regulatory compliance
Partner across Identity and Access Management, Cybersecurity, Infrastructure, Product, Engineering, Data, AI Governance, Risk, Compliance, and Enterprise Architecture
Advise leadership on applications, network, information security, database, operating systems, and web technologies for complex business and technical needs
Lead strategy and resolution of highly complex enterprise challenges and deliver long-term, large-scale solutions
Translate business objectives and enterprise technology opportunities into technical engineering solutions
Provide vision, direction, and expertise to leadership on innovative business solutions
Maintain knowledge of industry best practices and emerging technologies and recommend innovations
Define reference architectures, engineering standards, reusable security patterns, solution blueprints, and guardrails for agentic identity initiatives
Design authentication, authorization, delegation, lifecycle management, observability, accountability, and auditability models for AI agents
Develop security patterns for agent registration, ownership, agent-to-agent communication, delegated access, capability-based authorization, and decommissioning
Define identity-centric Zero Trust controls that reduce reliance on standing privileges and long-lived credentials
Architect integrations across Identity Governance and Administration, Privileged Access Management, cloud, directory, workload identity, and cybersecurity platforms
Translate strategic objectives into practical, scalable, and secure identity solutions with product managers and engineering teams
Evaluate emerging platforms, frameworks, and vendor capabilities related to agentic identity, AI security, and non-human identity governance
Ensure solutions meet internal control, audit, risk, regulatory, privacy, and compliance requirements
Use AI-assisted development and analysis tools such as GitHub Copilot and approved code-centric agents
Leverage AI for system design, coding, testing, analysis, and troubleshooting
Validate and integrate AI-assisted outputs while accounting for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production environments in alignment with security, compliance, privacy, and ethical standards

Requirements

What you’ll need

7+ years of Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
7+ years of experience in Identity and Access Management, cybersecurity, software engineering, or enterprise architecture
5+ years of experience designing enterprise identity architecture and identity-centric security solutions
Experience defining enterprise architecture and security strategies for agentic AI, autonomous systems, machine identities, workload identities, or other non-human identities
Experience securing AI agents, large language model integrations, agent orchestration frameworks, and autonomous platforms
Experience designing authentication, authorization, delegated access, identity lifecycle management, observability, and accountability controls for AI agents
Experience developing enterprise reference architectures, design standards, reusable security patterns, solution blueprints, and technical guardrails
Deep understanding of Zero Trust architecture, identity-centric security models, least privilege, short-lived credentials, and policy-based authorization
Experience designing enterprise-scale Identity Governance and Administration, Privileged Access Management, workload identity, and non-human identity solutions
Experience with Microsoft Entra ID, Azure, Amazon Web Services, Google Cloud Platform, CyberArk, Saviynt, or similar enterprise identity and cloud platforms
Strong knowledge of OAuth, OpenID Connect, SAML, SPIFFE/SPIRE, certificates, Public Key Infrastructure, API security, secrets management, and policy-based authorization
Experience establishing governance controls for agent registration, ownership, delegated authority, monitoring, lifecycle management, and decommissioning
Experience integrating identity platforms with cloud, container, API, automation, data, and AI ecosystems
Experience establishing security controls that support auditability, traceability, and accountability for AI-driven actions
Experience evaluating emerging technologies, platforms, frameworks, and vendor solutions related to AI security and identity
Experience influencing engineering roadmaps, modernization initiatives, and enterprise-wide architecture decisions
Experience leading large-scale identity modernization, platform transformation, or emerging technology initiatives
Experience partnering with engineering, product, cybersecurity, infrastructure, data, AI governance, risk, compliance, and architecture teams
Experience designing solutions for financial services or other highly regulated environments
Ability to communicate complex identity and AI security concepts to engineers, executives, auditors, risk partners, and regulators
Exceptional architecture, solution design, and technical documentation skills
Proven ability to influence technical strategy and drive consensus across diverse stakeholder groups
Relevant identity, cloud, architecture, or security certifications such as CISSP, CCSP, SABSA, TOGAF, or equivalent credentials
This position is not eligible for visa sponsorship

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement
May be considered for a discretionary bonus, Restricted Share Rights, or other long-term incentive awards