A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for some of the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is supported by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge are foundational to success in IBM Consulting. In your role, you'll be encouraged to challenge norms, explore ideas beyond your role, and develop creative solutions that generate groundbreaking impact for a wide network of clients. Our culture of evolution and empathy focuses on long-term career growth and development opportunities in an environment that values your unique skills and experience.
Your role and responsibilities
About the Role
We are seeking a highly skilled and motivated AI Security Architect/Engineer to join our growing security team. In this role, you will design, develop, and deploy AI-driven solutions to detect, prevent, and respond to cyber threats. You will be responsible for securing AI/ML systems, models, and data pipelines against adversarial threats, ensuring compliance with security best practices, and collaborating with cross-functional teams to build robust, trustworthy AI solutions. You will work at the intersection of machine learning, data science, and security engineering to enhance our security posture.
Key Responsibilities
* Architect and implement scalable Generative AI features, including agentic workflows, conversational AI, and autonomous agents.
* Develop and deploy machine learning models for threat detection, anomaly detection, malware classification, and behavioral analysis.
* Apply best practices in AI security, including mitigation of hallucinations, prompt injection, and bias.
* Identify and mitigate risks related to adversarial machine learning, model inversion, data poisoning, and prompt injection.
* Analyze large-scale security datasets (e.g., logs, network traffic, endpoint telemetry) to identify patterns and build predictive models.
* Research and implement AI and Machine Learning techniques to improve detection accuracy and reduce false positives.
* Design and implement security controls for AI/ML systems, including model training, inference, and data pipelines.
* Collaborate with security analysts and incident response teams to integrate AI tools into existing workflows.
* Work with data scientists, ML engineers, and DevOps teams to integrate security into the AI/ML lifecycle.
* Build automation pipelines for data preprocessing, model training, evaluation, and deployment.
* Monitor model performance and retrain models as needed to adapt to evolving threats.
* Stay current with emerging threats, vulnerabilities, and research in AI security and adversarial machine learning.
* Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and AI governance frameworks.
* Ensure AI systems are explainable, auditable, and aligned with ethical and regulatory standards.
Required education
Bachelor's Degree
Required technical and professional expertise
* Experience in the full AI project lifecycle, from research and prototyping to deployment in production environments.
* Familiarity with Agile development methodologies.
* Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
* Experience with AI and/or data governance.
* Experience with building automation solutions with AI/ML.
* Knowledge of AI ethics, fairness, and explainability.
* Strong understanding of cybersecurity principles, threat landscapes, and attack vectors.
* Experience with threat modeling and securing cloud-based AI infrastructure (e.g., AWS, Azure, GCP).
* Experience with data engineering and large-scale datasets.
* Must be an Australian Citizen.
Preferred technical and professional experience
* Experience with Ansible, Red Hat OpenShift, Kubernetes, and CI/CD Pipelines.
* Experience with secure MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
* Experience with LangChain, OpenAI APIs, or similar LLM frameworks (highly desirable).
* Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and custom embeddings.
* Experience with vector DBs or open file formats like Parquet, Avro, or ORC.
* Familiarity with cloud platforms (AWS, Azure, GCP) and security tools (SIEM, EDR, IDS/IPS).
* Excellent problem-solving and communication skills.
About Business Unit
IBM Consulting is IBM’s consulting and global professional services business, with market-leading capabilities in business and technology transformation. We offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies worldwide. Our people focus on accelerating our clients’ businesses through collaboration. We believe in the responsible use of technology to help people, partners, and the planet.
Your Life @ IBM
In a world where technology never stands still, we focus on client success, impactful innovation, trust, and personal responsibility. As IBMers, we learn and develop ourselves and our careers, encouraged to be courageous and experiment daily, with continuous support in an environment that embraces diversity and inclusion.
Our IBMers are growth-minded, curious, open to feedback, and committed to learning new skills to transform themselves and our company. They provide ongoing feedback, collaborate with colleagues, and drive exceptional outcomes for our customers. The courage to make critical decisions daily is essential to IBM’s mission to be a catalyst for progress, embracing challenges with resourcefulness, a can-do attitude, and an outcome-focused approach.
Are you ready to be an IBMer?
About IBM
IBM’s greatest invention is the IBMer. We believe in applying intelligence, reason, and science to improve business, society, and the human condition, leveraging our open hybrid cloud and AI strategies for our clients and partners worldwide.
Since 1911, we have continuously reinvented ourselves, becoming one of the largest corporate organizations and technology and consulting employers globally. Many Fortune 50 companies rely on IBM Cloud to run their business.
At IBM, we are pioneers in AI, quantum computing, and blockchain. Join us on our journey to responsible technology innovation and making a positive impact in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration regardless of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. We are committed to fair employment practices regarding citizenship and immigration status.
Other Relevant Job Details
For additional information about location requirements, please discuss with the recruiter after submitting your application.
Job Title: AI/ML Security Architect and Engineer
Job ID: 38816
Locations: Canberra, Melbourne, Sydney, Australia
Work arrangement: Hybrid
Area of work: Consulting
Employment type: Regular
Position type: Professional
No Travel
Company: (0008) IBM Australia Limited
Shift: General (daytime)
Is this role a commissionable/sales incentive-based position? No
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