Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture:
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.
Job Summary:
We are seeking an experienced AI Security Architect to lead the design and implementation of security architectures for AI-powered commerce solutions built on Azure AI Foundry, Azure OpenAI Service, and Azure Machine Learning. The role is responsible for establishing end-to-end security controls across AI applications, data pipelines, model lifecycles, and cloud infrastructure, with a strong focus on protecting customer data, mitigating AI-specific threats, and ensuring compliance with enterprise and industry security standards.
The successful candidate will drive security governance for LLM-based solutions, implement secure DevSecOps and MLOps practices, conduct threat modeling and risk assessments, and provide technical leadership throughout pre-sales, solutioning, and delivery engagements. This position requires deep expertise in Azure security, AI/ML security, identity and access management, data protection, and enterprise architecture.
Responsibilities :
- Design and implement end-to-end security architecture for AI-powered commerce applications (recommendation engines, conversational/agentic shopping assistants, personalization services) built on Azure AI Foundry, Azure OpenAI Service, and Azure Machine Learning.
- Define security controls for LLM-based systems, including prompt injection defence, output filtering, model access governance, and Azure AI Content Safety integration, tailored to retail/customer-facing use cases.
- Architect identity and access management for AI workloads using Azure Entra ID, managed identities, and RBAC, ensuring least-privilege access across data pipelines, model endpoints, and third-party integrations (payment gateways, CRM, order management).
- Establish data protection and privacy controls for customer PII and transactional data flowing through AI pipelines, aligning with Azure Purview data governance, encryption standards (at-rest/in-transit), and retail data privacy regulations (e.g., APPs, PCI DSS where payment data is involved).
- Conduct threat modelling and security risk assessments for AI/ML components, covering model poisoning, data exfiltration, adversarial inputs, and supply-chain risks in the Azure AI ecosystem.
- Define secure DevSecOps and MLOps practices, embedding security gates into CI/CD pipelines (Azure DevOps/GitHub Actions) for model deployment, versioning, and rollback.
- Collaborate with solution architects, data engineers, and compliance teams to ensure the AI commerce platform meets enterprise security standards, industry certifications, and audit requirements.
- Provide security architecture governance and technical leadership during pre-sales, solutioning, and delivery phases, translating client risk requirements into actionable security design patterns and reference architectures.
Preferred Certifications:
- Microsoft Certified: Cybersecurity Architect Expert (SC-100)
- Microsoft Certified: Azure Security Engineer Associate (AZ-500)
- Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
- Microsoft Certified: Azure AI Engineer Associate (AI-102) — for AI/ML-specific depth
- CISSP or CISM (enterprise security governance)
- TOGAF (enterprise architecture alignment) — optional but valued in pre-sales contexts
Skills Required :
10–14 years in security architecture
At least 3–5 years focused on AI/ML security or securing cloud-native data platforms, and demonstrated experience securing customer-facing commerce or retail systems at enterprise scale.
Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:
- You can pursue innovative career tracks and opportunities here
- You can enhance your professional development through education and dedicated training
- We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.
Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest in this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.
