Principal Architect - Identity Access Management

Wells Fargo•New York, NY

22h•$191,000 - $305,000•Onsite

About The Position

Wells Fargo is seeking a Principal Architect in Cybersecurity to support Identity Access Management (IAM). The architect will partner closely with application development, platform engineering, cloud, infrastructure, cybersecurity, risk, and line-of-business teams to establish scalable, secure, and resilient identity controls for applications, services, workloads, APIs, containers, CI/CD pipelines, and emerging AI platforms. This role will influence enterprise architecture decisions, develop reference architectures and standards, and lead strategic initiatives focused on machine identities, secrets lifecycle management, privileged access, and zero trust security principles.

Requirements

7+ years of architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
7+ years of experience implementing enterprise-scale Identity Access Management solutions

Nice To Haves

Deep expertise in Identity Governance, Privileged Access Management, authentication, authorization, and security architecture.
Experience designing distributed, cloud-native platforms using microservices and APIs.
Strong knowledge of AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and platform engineering practices.
Experience with enterprise IAM and PAM solutions such as Saviynt, CyberArk, BeyondTrust, Oracle Identity Manager, or equivalent platforms.
Proficiency in Java/Spring ecosystem and modern application architecture patterns.
Experience working with regulated environments, audit requirements, and security compliance programs.
Experience with AI security, secure generative AI platforms, Agentic AI, and model governance.
Knowledge of Zero Trust Architecture and machine/workload identity security.
Experience defining enterprise reference architectures and architecture governance standards.
Ability to influence technology strategy across large, complex organizations.
Industry certifications in cloud, security, cybersecurity, or architecture disciplines.

Responsibilities

Act as an advisor to senior leadership to develop the architectural framework & delivery 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 products and solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical and inductive thinking
Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy describing the current state, target state, and transition architecture
Develop and influence strategic plans, investment planning, and execution on cutover strategies to target
Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership
Drive target investments towards target technologies and rationalize spend, total cost of ownership, and return on investment
Ensure applications adhere to established Wells Fargo standards, policies, methodologies, and industry best practices as it transforms toward target state architecture
Drive the definition, establishment, selection of strategic tools, and application of architecture frameworks
Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity
Demonstrate proficiency in using AI‑assisted development and analysis tools (e.g., 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