Sr. IAM AI Solutions Architect
About the role
The Sr. IAM AI Solutions Architect is responsible for ensuring that Newell's adoption of agentic and generative AI solutions are identity-safe. They also find practical ways to apply AI within the IAM program to build better integrations, increase delivery speed, and improve the experience for both team members and end users.
Responsibilities
Pillar 1: Enabling Safe AI Development and Consumption
Access Governance for AI Solutions
Non-Human Identity Governance
Agentic AI Configuration Governance (MCP & A2A)
AI Identity Risk & Compliance
Pillar 2: Applying AI to Strengthen and Accelerate IAM
AI-Assisted Integration & Automation
IAM Program AI Guidance
Qualifications
Experience in IAM, identity governance and related information security domains.
Strong understanding of authentication, authorization, access lifecycle management, and privileged access.
Broad knowledge of the IAM stack and how its components connect.
Hands-on experience with AI/ML engineering, agentic frameworks, or rapid prototyping approaches like vibe coding.
Scripting or development skills (Python, JavaScript/TypeScript, or similar) for building IAM tooling and automation.
Experience with or strong aptitude for AI-assisted development, including the use of generative AI tools for prototyping, building integrations, and solving technical problems.
Understanding of non-human identity types (AI agents, service accounts, machine identities) and the governance challenges they create.
Experience with or knowledge of machine identity frameworks (SPIFFE/SPIRE) and modern auth standards (OIDC, OAuth 2.0, SAML, SCIM).
Preferred Qualifications
Experience securing AI-enabled platforms or workflows in an enterprise setting.
Familiarity with AI-driven analytics, anomaly detection, or intelligent recommendations in an IAM context.
Knowledge of audit, compliance, or regulatory stakeholders.
Relevant certifications: CISSP, CISM, or vendor-specific IAM certs.
Education
Bachelor's degree in Information Security, Computer Science, Information Systems, or a related field, or equivalent professional experience. Demonstrated expertise and a strong delivery track record are valued equally.