Principal Engineer - Agentic Identity Security

Wells Fargo•Columbus, OH

1d•$159,000 - $254,000•Onsite

About The Position

Wells Fargo is seeking a Principal Engineer in Cybersecurity as part of Identity and Access Management Engineering. This role will serve as a senior technical leader responsible for defining the enterprise architecture and security strategy for agentic identity, including AI agents, autonomous systems, machine identities, workload identities, and other non-human access models. This role will establish enterprise standards, reference architectures, security patterns, and governance controls that enable responsible AI innovation while maintaining strong security, accountability, auditability, and regulatory compliance. This individual will partner across Identity and Access Management, Cybersecurity, Infrastructure, Product, Engineering, Data, AI Governance, Risk, Compliance, and Enterprise Architecture to deliver secure and scalable identity controls for AI agents and emerging autonomous technologies.

Requirements

7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, 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

Nice To Haves

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

Responsibilities

Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups
Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking
Translate advanced technology experience, an in-depth knowledge of the organization’s tactical and strategic business objectives, the enterprise technological environment, the organizational structure, and strategic technological opportunities and requirements into technical engineering solutions
Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions
Maintain knowledge of industry best practices and emerging technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
Define the enterprise architecture and security strategy for AI agents, autonomous systems, machine identities, workload identities, and other non-human identities
Establish 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 security controls that support Zero Trust principles and reduce reliance on standing privileges and long-lived credentials
Architect integrations across enterprise Identity Governance and Administration, Privileged Access Management, cloud, directory, workload identity, and cybersecurity platforms
Partner with product managers and engineering teams to translate strategic objectives into practical, scalable, and secure identity solutions
Evaluate emerging platforms, frameworks, and vendor capabilities related to agentic identity, AI security, and non-human identity governance
Ensure architecture and engineering solutions meet internal control, audit, risk, regulatory, privacy, and compliance requirements
Demonstrate proficiency in using AI-assisted development and analysis tools, such as GitHub Copilot and approved code-centric agents
Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
Apply strong technical judgment when validating and integrating AI-assisted outputs into solutions
Understand and account for model limitations, security risks, and operational considerations
Apply AI responsibly in development and production environments
Ensure AI usage aligns with security, compliance, privacy, and ethical standards