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Introduction

A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.

Seeking new possibilities and always staying curious, we are a team dedicated to creating the world’s leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your role and responsibilities

Data is the engine of AI - especially the growing trove of unstructured data that fuels model training, fine‑tuning, and inference pipelines. It is critically important to secure this data in enterprises for AI especially given regulatory compliance mandates including privacy.

The Technical Architect will shape and own the end‑to‑end security and compliance framework for all structured and unstructured data used across the organization’s AI/ML pipelines. You’ll translate regulatory mandates into concrete technical controls, design robust data‑protection architectures, and guide cross‑functional teams to deliver secure, compliant AI solutions at scale.

As the technical architect for security and compliance across the data‑AI lifecycle, you will shape and own the end‑to‑end security and compliance framework for all structured and unstructured data. You will protect sensitive data and build in compliance support so our clients can run AI/ML workloads at scale with confidence.

You will:

* Define the data security and compliance vision and architecture

* Identify, prioritize, and roadmap the necessary technology components

* Lead detailed design and engineering of components

* Work with clients to implement use cases and pilot projects for early validation

* Build internal and external technical partnerships

Technical Focus Areas

(These are illustrative, not exhaustive.)

* Discovery and classification of structured and unstructured data

* At‑rest and in‑flight data protection and privacy-preserving technologies

* Continuous risk and exposure monitoring with proactive alerts on anomalous behavior

* Reconciliation and enforcement of regulatory and policy requirements

* Unified, end‑to‑end lifecycle management across structured and unstructured data

* Governance and access controls aligned with broader security and governance frameworks

* Agentic AI for security and compliance automation

Required technical and professional expertise

Lead Data Security Architecture and Implementation

* Understand the competitive landscape and partner with product management to craft and evangelize a unified vision for data security and compliance balancing competing priorities

* Identify, prioritize, and roadmap the necessary technology capabilities with an emphasis on scalability and efficiency

* Drive architecture and design, and oversee engineering execution to keep client value front‑and‑center

* Guide teams to be innovation leaders - pilot new capabilities from incubation through internal adoption to market launch

* Exploit agentic AI to streamline security and compliance workflows and unlock new product possibilities

Advocate and Connect Across (and Outside) the Organization

* Translate technical complexity into clear business context, and conversely turn business needs into actionable technical strategy

* Act as the primary liaison between highly technical teams, clients, and business stakeholders

* Build and drive partnerships with IBM Research and IBM Consulting to bring cutting‑edge research into real‑world client use cases

* Work with relevant industry standards and open-source initiatives; promote our technologies at industry events

Preferred technical and professional experience

* Deep technical expertise and hands-on experience in information security, complex systems, and agentic AI solutions for security and compliance

* Proven track record of designing, building, and delivering innovative technologies at scale

* Demonstrated ability to influence and lead large‑scale, cross‑functional programs and align diverse teams around a common vision

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.