About Team:
At Walmart, we prioritize innovation and data security. Our team is dedicated to maintaining a secure operating environment and preserving the trust of our customers, associates, and stakeholders. We combine a range of services and expertise to prevent fraud, detect threats, and manage digital risk and access. Our focus is on mitigating attack risks, securing cloud transformation, and fostering a culture of security and reliability within our team. This team is responsible for enterprise-scale AI security platforms, with a strong focus on Policy as Code, governance automation, and real-time enforcement.
What you'll do:
The Principal Engineer is responsible for architecting platform-level safety controls and translating governance into implementable, testable, and enforceable mechanisms. This role ensures policy-as-code, enforcement pipelines, and runtime controls are robust across model upgrades and multi-team integrations.
Business Context & Risk Surface Works at platform scale to secure LLMOps/AgentOps pipelines, RAG integrations, and policy enforcement layers. Primary risks: indirect prompt injection via external content, policy bypass via composite prompts, enforcement regression post-upgrade.
Scope, Ownership & Decision Authority Owns pattern libraries, safety CI/CD pipelines, regression testing frameworks, and policyas-code libraries. Approves enforcement integration designs for major platform consumers.
AI Security & Safety Responsibilities (Core) Define policy-as-code constructs and CI/CD checks that detect safety regressions during model or prompt updates. Design and implement runtime policy engines that can steer, block, or sanitize outputs based on configurable rules. Secure RAG pipelines: sanitize retrieved documents, apply document-level prompt shields, and validate retrieval sources.
Platform / Architecture / Engineering Responsibilities Design scalable telemetry and enforcement gateways; ensure low-latency enforcement paths for customer-facing flows. Propose and maintain reusable libraries for moderation, PII detection, and classifier integration.
Governance, Compliance & Evidence Responsibilities Bake in audit logging and evidence collection to enforcement engines to support SSP and regulatory audits. Define test coverage and acceptance criteria for high-risk models.
What you'll bring:
BE/Btech/MS/Mtech degree in Computer Science, Artificial Intelligence, Information Security, Information Technology, Engineering, Computer Information Systems, or related field with 10-20 years of work experience.Demonstrated understanding of AI- and LLM-specific threat models, including hallucination, prompt injection (direct and indirect), jailbreaks, data poisoning, model misuse, and over-reliance on probabilistic outputs.Working knowledge of the OWASP Top 10 for LLM Applications and the OWASP GenAI Security Project, including common failure modes such as insecure output handling, training data poisoning, model denial-of-service, and prompt injection.Familiarity with MITRE ATLAS™ (Adversarial Threat Landscape for AI Systems) and the ability to reason about attacker tactics such as model evasion, poisoning, extraction, abuse of autonomy, and adversarial probing.Experience designing or operating runtime AI safety controls, not limited to training-time alignment, including input/output validation, content moderation, PII detection, response steering, and last-mile enforcement.Understanding of distribution shift and out-of-distribution (OOD) risk in production AI systems and how these conditions lead to safety, reliability, and trust failures.Awareness of reward hacking and objective misalignment, and how poorly specified incentives can result in unsafe emergent behavior.Practical exposure to AI red-teaming and adversarial testing, including systematic discovery of failure modes and conversion of findings into automated regression tests.Understanding of agentic AI risks, including tool misuse, unintended action loops, escalation of autonomy, and the need for human-in-the-loop (HITL), sandboxing, and kill-switch mechanisms.Familiarity with evolving AI regulatory and legal expectations, including high-risk AI classifications, auditability, and technical evidence required for conformity assessments.Proven experience building automated safety testing and CI/CD pipelines for ML/LLM systems.Strong telemetry/observability background.Experience building replay frameworks and integrating red-team outputs into CI.Should be able to design safeguards for large-scale generative AI and autonomous systems. Should be able to tackle real-world AI risks such as hallucinations, misuse, and adversarial behavior. Should know to embed security, safety, and trust directly into AI platforms used globally. Should know to translate emerging AI regulations and ethical expectations into practical, production-grade engineering solutions. Able to work on problems where correctness, responsibility, and human impact truly matter.About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate on a scale, impact millions and reimagine the future of retail.
Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Chennai office for daily work, with flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 5 years’ experience in systems and infrastructure engineering or related area at a technology, retail, or data-driven company.Option 2: 7 years’ experience in systems and infrastructure engineering or related area at a technology, retail, or data-driven company.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Certification in Security+, GISF, GSEC, CISSP, or CCSP., Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3 years’ experience leading information security or cybersecurity projects.Primary Location...TOWER 1, PART OF 1ST,2ND TO 4TH FLRS, SY NO. 141/14A, 200FT(RADIAL ROAD),ZAMIN PALLAVARAM, INTL TECH PARK, , India