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Bengaluru, Karnataka, India
Hybrid
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a AI Engineer to join our team. The position is based out at Bangalore or Mohali role, reporting to the Snr Manager, Product Business Operations in the AI Native - Product Operations Platform department. We are seeking a hands-on engineer to help scale the agentic layer of our platform by designing production-grade AI systems and expanding foundational capabilities. This role is built for a strong builder who understands modern AI systems in practice and thrives in a high-velocity, rapid-iteration environment.
What you’ll do (Role Expectations)
Build and scale the agentic layer of the AI Native - Product Operations Platform by designing production-grade AI systems and supporting platform capabilities
Develop hands-on across FastAPI, NextJS, and Postgres while applying practical knowledge of RAG architectures, embeddings, and vector retrieval
Implement standards, patterns, and guardrails to ensure AI development on the platform remains scalable, reliable, and cohesive
Partner closely with Product and other stakeholders to translate business needs into scalable technical solutions optimized for cost and throughput
Contribute to a high-velocity delivery environment characterized by frequent releases, rapid iteration, and end-to-end execution
Who You Are (Success Profile)
You are a pragmatic builder with a passion for rolling up your sleeves to create, iterate, and ship production-grade software.
You thrive in ambiguity and fast-paced environments, maintaining focus and execution velocity amidst rapid change.
You act like an owner, bringing deep accountability, a strong bias for action, and end-to-end execution to every project.
You are a high-trust collaborator who excels at partnering with cross-functional teams to translate business needs into technical solutions.
You champion simplicity, with a proven ability to distill complex technical problems and AI architectures into clean, actionable plans.
What We’re Looking for (Minimum Qualifications)
8 +yrs of industry experience with demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
Strong hands-on software engineering experience with FastAPI, NextJS, and Postgres, including building application stacks end-to-end
Proven experience building and deploying agentic AI systems, RAG architectures, embeddings, and vector retrieval systems in production environments
Familiarity with prompt engineering, orchestration patterns, agent workflows, and the implementation of evaluation frameworks or guardrails
Comfortable operating in a high-velocity delivery environment with a track record of supporting weekly feature releases
What Will Make You Stand Out (Preferred Qualifications)
Experience working in a startup or fast-scaling product environment with a broad technical range across backend, frontend, and platform engineering
Proven ability to design AI systems optimized for low cost, high throughput, extensibility, and long-term scalability
Experience selecting and implementing AI development tools, observability frameworks, and LLM application patterns
#LI-Hybrid
#LI-RG
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:
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.