Technical Consultant - Data and AI Security

IBM
IBM

Software Engineering, IT, Data Science

North Carolina, USA · California City, CA, USA · Malta

Posted on Oct 22, 2026
Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact.

Your role and responsibilities

We are seeking a visionary AI Security Architect to lead the design, assessment, and governance of security frameworks for AI/ML systems across the enterprise. You will be the subject matter expert at the intersection of artificial intelligence, cybersecurity, and regulatory compliance — ensuring AI systems are built, deployed, and operated securely and responsibly.

You will work across Client's cross-functionally with data science, engineering, legal, compliance, and executive leadership to define how the organization builds trustworthy AI — from threat modeling to policy enforcement to third-party AI vendor risk.

Key ResponsibilitiesAI Security Architecture
  • Design and advise Clients on enterprise-wide security reference architectures for AI/ML systems — LLMs, generative AI pipelines, ML inference infrastructure.
  • Establish secure-by-design patterns for model training, data pipelines, model registries, APIs, and AI-enabled applications.
  • Define security controls for AI infrastructure across cloud, on-prem, and hybrid environments (Azure, AWS, GCP).
AI Governance & Policy
  • Develop and enforce the organization's AI Governance Framework, including acceptable use policies, model risk management, data ethics, and accountability structures.
  • Align AI governance programs with regulations and standards: EU AI Act, NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10, MITRE ATLAS.
  • Define AI risk tiers and corresponding control requirements (high-risk vs. limited-risk AI systems).
  • Establish model cards, AI Bill of Materials (AI-BOM), and audit trail requirements for deployed AI systems.
  • Partner with Legal, Privacy, and Compliance on regulatory obligations for AI across domains.
AI Security Assessments
  • Lead AI-specific threat modeling using MITRE ATLAS, OWASP LLM Top 10, and adversarial ML taxonomies.
  • Conduct assessments covering: data poisoning, model inversion, adversarial evasion, prompt injection, training data extraction, supply chain risks, and model theft.
  • Assess AI/ML vendor products and third-party AI integrations for security posture and governance maturity.
  • Co-ordinate and run red team exercises — LLM jailbreaking, API abuse, agentic AI manipulation scenarios.
  • Produce written assessment reports with risk ratings, findings, and remediation roadmaps for technical and executive audiences.

This role can be performed from anywhere in the US.

Required education
Associate's Degree/College Diploma
Required technical and professional expertise
  • 7+ years in cybersecurity, with 3+ years focused on AI/ML security, data science security, or emerging technology risk.
  • Deep understanding of ML concepts: model training, inference, fine-tuning, RAG architectures, agentic AI, and LLM deployment.
  • Hands-on experience with AI/ML threat modeling and adversarial attack techniques (data poisoning, prompt injection, adversarial examples, model extraction).
  • Familiarity with AI governance frameworks: NIST AI RMF, ISO/IEC 42001, EU AI Act, OWASP LLM Top 10, MITRE ATLAS.
  • Strong background in cloud security architecture (AWS, Azure, or GCP) — IAM, data security, network controls.
  • Experience conducting security architecture reviews, risk assessments, and writing executive-level reports.
  • Excellent written and verbal communication — ability to translate complex AI risks into business-relevant language.

Preferred technical and professional experience
  • Experience with MLOps platforms (MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML).
  • Programming skills in Python for scripting, security automation, or ML experimentation.
  • Prior experience building or auditing Responsible AI / Trustworthy AI programs.
  • Experience with AI supply chain security — model provenance, SBOM/AI-BOM, open-source model vetting.
  • Background in regulated industries (finance, healthcare, government).
  • Relevant certifications: CISSP, CCSP, CISM, AWS/Azure/GCP Security Specialty, or GIAC certifications.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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