Sr. IAM AI Solutions Architect

Newell Brands•Atlanta, GA

1d•Remote

About The Position

The Sr. IAM AI Solutions Architect is responsible for ensuring that as Newell Brands builds and adopts agentic and generative AI solutions, those solutions are identity-safe. This involves ensuring users and AI agents only access data and transactions they are authorized for, proper governance for non-human identities, and secure management of the configuration layers behind agentic AI (especially MCP and A2A). Additionally, the role focuses on applying AI within the IAM program itself to improve integrations, increase delivery speed, and enhance user experience. This is a cross-tower role, working with IGA, PAM, AM, ILM, and others, bringing AI expertise and a broad perspective. The IAM organization views IAM as a business accelerator, and this role ensures IAM capabilities support Newell's AI ambitions.

Requirements

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 its components (client-server models, PAM, ILM, IGA, AM).
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.
Working knowledge of agentic AI architecture, including MCP, A2A communication, orchestration patterns, and identity controls.
Understanding of non-human identity types (AI agents, service accounts, machine identities) and their governance challenges.
Experience with or strong aptitude for AI-assisted development, including generative AI tools.
Awareness of AI-specific security risks for authentication, authorization, and access governance.
Hands-on experience with IAM platforms in hybrid or cloud environments.
Experience working in a matrixed or tower-based model, driving outcomes through influence and partnership.
Ability to translate complex identity concepts into plain language for various audiences.
Comfortable balancing innovation with risk, with an orientation toward finding a safe path to yes.
Self-directed and able to manage multiple priorities without close supervision.

Nice To Haves

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 machine identity frameworks (SPIFFE/SPIRE) and modern auth standards (OIDC, OAuth 2.0, SAML, SCIM).
Experience with audit, compliance, or regulatory stakeholders.
Relevant certifications: CISSP, CISM, or vendor-specific IAM certs.

Responsibilities

Work with AM and IGA tower leads to define and enforce access control policies for agentic and generative AI solutions, keeping users and agents within their authorized scope.
Partner with tower engineers to design authorization models for AI-enabled applications, ensuring entitlements are scoped correctly and reviewed through existing governance processes.
Serve as a resource on AI identity architecture for business and IT teams building AI solutions, engaging IAM towers early in the design process.
Partner with IGA, ILM, and PAM towers to build governance around non-human identities (NHIs) used in AI solutions, including agents, service accounts, machine identities, and automated workflows.
Work with ILM to define NHI lifecycle management (provisioning, attestation, certification, rotation, decommissioning).
Identify and remediate NHI sprawl, orphaned accounts, and over-privileged automated identities, coordinating with PAM for secret and credential management.
Own the security and governance standards for MCP and A2A configuration layers, working with AM and PAM towers on authentication, authorization, tool-use permissions, and logging.
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.
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, prompt injection attacks, and unauthorized privilege escalation.
Support audits and compliance activities related to AI identity governance.
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 for connectors, access request workflows, provisioning logic, and monitoring/alerting.
Prototype AI-driven automation for lifecycle processes, certifications, privileged access operations, and incident triage.
Evaluate AI-powered tools to improve IAM operations, integration timelines, or data quality.
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 for IAM staff on using AI tools effectively.
Establish development standards for AI-assisted IAM engineering.