Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.
We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.
As a hands-on Senior AI Engineer within Zscaler's IT AI/ML Engineering team in India, you will design, build, test, and operate production-grade AI applications used by employees and customers globally. Collaborating daily with a US-based technical lead and distributed teammates, you will own well-scoped projects end-to-end, specializing either in agents and retrieval systems or AI business solutions and platform support.
What You'll Do (Role Expectations)- Design and build production-grade AI services, APIs, and retrieval pipelines in Python with clean, tested, and well-documented code.
- Lead scoped AI projects from design to launch, breaking down ambiguous business requirements into clear technical tasks.
- Integrate test sets, regression checks, tracing, and cost/latency tracking into every feature to ensure system reliability.
- Partner closely with global, cross-functional teams, share status transparently, review code, and mentor junior engineers.
- Provide L2 support for AI applications, administer enterprise AI platforms, write runbooks, and build automation to reduce repeat issues.
- You take pride in owning a technical project from initial design and prototyping all the way to production monitoring and support.
- You are dedicated to clean code, robust testing, data-handling security practices, and raising the collective standards of your team.
- You enjoy running structured experiments with models, prompts, and retrieval strategies to turn results into clear, actionable recommendations.
- You thrive in global environments, communicating technical concepts clearly in English and working seamlessly across time zones.
- You excel at translating complex business problems into reliable, automated AI workflows and user-friendly experiences.
- Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
- 5+ years of software engineering experience, including 2+ years of hands-on experience building applications with LLMs or ML services.
- Bachelor’s or Master’s degree in Computer Science/Engineering (or equivalent experience) with strong Python skills and solid API/service design.
- Hands-on experience with prompt design, Retrieval-Augmented Generation (RAG), and function calling or agent frameworks.
- Experience evaluating AI systems using test sets, regression checks, and tracing or monitoring tools.
- Working knowledge of cloud (AWS, GCP, or Azure), Docker, CI/CD, and experience debugging and supporting production services.
- Proven ability to leverage AI technologies and workflows to drive operational efficiency, backed by exposure to how AI agents or models are built
- Experience with vector/graph databases, embeddings, rerankers, model serving, fine-tuning, or open-weight models.
- Familiarity with Model Context Protocol (MCP), tool-integration standards, and agent memory/context management.
- Experience administering enterprise AI platforms (e.g., Claude, OpenAI, Bedrock) or building custom Slack bots and web widgets.
- Proven experience running technical workshops, writing runbooks, or contributing to the community via open-source, publications, or talks.
#LI-Hybrid #LI-NT1
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Skills Required
- Foundational understanding of AI and machine learning technologies
- 5+ years of software engineering experience
- 2+ years of hands-on experience building applications with LLMs or ML services
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience
- Strong Python skills and solid API/service design experience
- Hands-on experience with prompt design, Retrieval-Augmented Generation, and function calling or agent frameworks
- Experience evaluating AI systems using test sets, regression checks, and tracing or monitoring tools
- Working knowledge of AWS, GCP, or Azure
- Experience with Docker, CI/CD, debugging, and supporting production services
- Experience leveraging AI technologies and workflows to drive operational efficiency
- Experience with vector or graph databases, embeddings, rerankers, model serving, fine-tuning, or open-weight models
- Familiarity with Model Context Protocol, tool-integration standards, and agent memory or context management
- Experience administering enterprise AI platforms such as Claude, OpenAI, or Bedrock
- Experience building custom Slack bots or web widgets
- Experience running technical workshops, writing runbooks, or contributing through open-source, publications, or talks
Zscaler Compensation & Benefits Highlights
-
Healthcare Strength — Health, dental and vision plans through major carriers, alongside mental-health services, virtual care, and fertility resources, create broad coverage. Feedback suggests coverage breadth and provider choice are seen as strong points.
-
Parental & Family Support — Paid parental bonding leave for birthing and non-birthing parents, plus additional disability leave and a phased return option, signals meaningful family support. Feedback suggests these policies contribute to a family-friendly package.
-
Equity Value & Accessibility — An ESPP with at least a 15% discount and RSUs for eligible roles add wealth-building potential beyond base pay. Feedback suggests stock programs are a notable strength of the total rewards mix.
Zscaler Insights
What We Do
Zscaler accelerates digital transformation so our customers can be more agile, efficient, resilient, and secure. Our cloud native Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Why Work With Us
Our impact comes from how we work—every day, in every decision, as one team. Our values and leadership principles are more than words; they're our operating system. They fuel a culture of execution where trust, transparency, and accountability help us deliver meaningful results for our customers, colleagues, and our company. www.zscaler.com/culture
Gallery
.jpg)
Zscaler Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Zscaler's hybrid work environment balances individual employee work styles with best practices to build trust and collaboration – all in support of addressing personal productivity and achieving organizational success.
