Senior AI Engineer – LLM & Generative AI

Who you are

You have 5+ years of experience in AI engineering, particularly with large language models and generative AI — you've successfully implemented AI solutions that drive business value and improve user experiences. Your strong programming skills in Python enable you to build robust AI models and systems that can handle large datasets efficiently.

You possess a deep understanding of machine learning algorithms and frameworks such as TensorFlow and PyTorch — you've applied these tools to develop and optimize models that perform well in real-world applications. Your experience with natural language processing (NLP) allows you to tackle complex language-related tasks, enhancing the capabilities of AI systems.

You are a collaborative team player who thrives in high-performing environments — you enjoy working closely with cross-functional teams, including software engineers and product managers, to integrate AI solutions into existing platforms. Your ability to communicate complex technical concepts clearly helps bridge the gap between technical and non-technical stakeholders.

You are driven by a passion for innovation and a desire to make a positive impact on cybersecurity — you stay updated with the latest advancements in AI and are eager to apply new techniques to enhance security measures. You understand the importance of building trust through transparency and results, aligning with Zscaler's core values.

Desirable

Experience with cloud platforms such as AWS or Azure is a plus — you understand how to leverage cloud resources to scale AI solutions effectively. Familiarity with cybersecurity principles and practices will help you contribute to Zscaler's mission of protecting customers from cyber threats.

What you'll do

As a Senior AI Engineer at Zscaler, you will lead the development of AI-driven features for our Zero Trust Exchange platform — your work will directly contribute to enhancing the security and efficiency of our services. You will design and implement machine learning models that analyze user behavior and detect anomalies, helping to prevent cyberattacks.

You will collaborate with product teams to define AI requirements and translate them into technical specifications — your insights will guide the development process, ensuring that AI solutions meet user needs and business objectives. You will also conduct experiments to validate model performance and iterate on designs based on feedback and results.

Your role will involve mentoring junior engineers and sharing your expertise in AI and machine learning — you will foster a culture of learning and innovation within the team, encouraging knowledge sharing and collaboration. You will participate in code reviews and contribute to best practices in AI development, ensuring high-quality deliverables.

You will stay engaged with the AI community, exploring new technologies and methodologies that can be applied to Zscaler's products — your proactive approach will help the company maintain its leadership position in the cybersecurity space. You will also contribute to the documentation of AI processes and models, ensuring that knowledge is preserved and accessible to the team.

What we offer

At Zscaler, you will be part of a dynamic team that values transparency, collaboration, and accountability — we believe in empowering our employees to do their best work and make a meaningful impact. You will have access to professional development opportunities, allowing you to grow your skills and advance your career in AI and cybersecurity.

We offer competitive compensation and benefits, including flexible work arrangements to support your work-life balance — our culture encourages innovation and creativity, making it an exciting place to work. Join us in shaping the future of cybersecurity and making a difference on a global scale.