Sr. IAM AI Solutions Architect

Role Description

The Sr. IAM AI Solutions Architect is responsible for two main objectives:

• Ensuring that as Newell builds and adopts agentic and generative AI solutions, those solutions are identity-safe.
• Finding practical ways to apply AI within the IAM program to build better integrations, increase delivery speed, and improve the experience for both the team and end users.

This role is not a tower ownership role; the IAM organization operates through established capability towers: IGA, PAM, AM, ILM, and others. This engineer works across all of them, bringing AI expertise and a cross-tower perspective.

We view IAM as a business accelerator, not just a security function. This person is responsible for keeping our IAM capabilities aligned with and actively supporting Newell's AI ambitions.

Key Responsibilities

• Pillar 1: Enabling Safe AI Development and Consumption
  • Access Governance for AI Solutions
    • Work with AM and IGA tower leads to define and enforce access control policies for agentic and generative AI solutions.
    • Partner with tower engineers to design authorization models for AI-enabled applications.
    • Serve as a resource on AI identity architecture for business and IT teams building AI solutions.
  • Non-Human Identity Governance
    • Partner with IGA, ILM, and PAM towers to build governance around non-human identities (NHIs) used in AI solutions.
    • Work with ILM to define how NHIs are provisioned, attested, certified, rotated, and decommissioned.
    • Identify and remediate NHI sprawl, orphaned accounts, and over-privileged automated identities.
  • Agentic AI Configuration Governance (MCP & A2A)
    • Own the security and governance standards for MCP and A2A configuration layers.
    • Partner with IGA to govern agent-to-agent trust relationships, delegation scopes, and orchestration flows.
    • Work with IAM operations to monitor for configuration drift, unauthorized changes, and misconfigurations.
    • Maintain documentation and operating procedures for agentic AI configuration controls.
  • AI Identity Risk & Compliance
    • Work with tower leads and InfoSec to identify, assess, and address identity-related risks in AI architectures.
    • Track the AI threat landscape, particularly around agent behavior anomalies and unauthorized privilege escalation.
    • Support audits and compliance activities related to AI identity governance.
• Pillar 2: Applying AI to Strengthen and Accelerate IAM
  • AI-Assisted Integration & Automation
    • Work with tower leads and engineers to identify where AI can improve integrations between IAM platforms and IT solutions.
    • Support tower teams in using AI-assisted development to accelerate the build-out of onboarding connectors.
    • Prototype AI-driven automation that reduces manual effort in lifecycle processes.
    • Evaluate AI-powered tools that could improve IAM operations and bring recommendations to leadership.
  • IAM Program AI Guidance
    • Serve as the IAM program's primary resource on applying AI to improve security, delivery speed, and user experience.
    • Research and present emerging AI capabilities relevant to IAM.
    • Develop playbooks and training so IAM staff can use AI tools effectively.
    • Establish development standards for AI-assisted IAM engineering.

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 or rapid prototyping approaches.
• Scripting or development skills (Python, JavaScript/TypeScript, or similar).
• Working knowledge of agentic AI architecture.
• Understanding of non-human identity types and the governance challenges they create.
• Experience with or strong aptitude for AI-assisted development.
• Awareness of AI-specific security risks.
• Hands-on experience with IAM platforms in hybrid or cloud environments.
• Experience working in a matrixed or tower-based model.
• Able to translate complex identity concepts into plain language.
• Comfortable balancing innovation with risk.
• Self-directed and able to manage multiple priorities without close supervision.

Preferred Qualifications

• Experience securing AI-enabled platforms or workflows in an enterprise setting.
• Familiarity with AI-driven analytics or intelligent recommendations in an IAM context.
• Knowledge of machine identity frameworks and modern auth standards.
• Experience with 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.

Who You Are

You're naturally curious about AI and identity security, and you enjoy learning new things and teaching others. You see IAM as something that enables the business to move, not something that holds it back. You recognize that the work done in this role directly affects how quickly Newell can adopt AI across the enterprise.