Note: The job is a remote job and is open to candidates in USA. Zscaler is a cloud security company focused on accelerating digital transformation through its Zero Trust Exchange platform and AI-native enterprise initiatives. The Sr. Staff Software Development Engineer will build secure, production-grade AI solutions, partner with business leaders to identify opportunities and shape roadmaps, and establish engineering standards and playbooks while mentoring team members.
Responsibilities
- Partner with business leaders and product owners from discovery through delivery to map workflows, identify high-value AI opportunities, shape roadmaps, and advise on technical feasibility, cost, and risk
- Design and ship secure, production-grade AI solutions across retrieval-augmented generation, structured data querying, unstructured data mining, and agentic workflows, integrating them with core systems of record
- Bring a product-ownership mindset to deployments by establishing monitoring and evaluation frameworks, implementing least-privilege access, and managing ROI, cost attribution, and support plans
- Set engineering standards by expanding reusable building blocks, reference architectures, skills, and engineering playbooks while mentoring team members
Skills
- 6+ years of professional software engineering experience, including at least 3 years working directly on AI and/or ML projects
- Hands-on experience across modern AI architecture components, including retrieval methods, reusable skill development, agentic orchestration, Model Context Protocol (MCP) integration, and agent-to-agent (A2A) frameworks
- Proven track record of direct collaboration with business stakeholders to run discovery, translate ambiguous needs into actionable plans, and communicate trade-offs, risk, cost, performance, and architecture
- Demonstrated experience securing AI systems and underlying data, including least-privilege access controls and defending against prompt injection, data leakage, and non-compliant outputs
- Strong engineering foundation proficiency in Python, with experience deploying AI at scale on major cloud platforms (AWS, GCP, Azure), integrating across APIs, relational/vector databases, and enterprise systems, and monitoring production drift and failure modes
- Familiarity with memory management and long-term context architectures for AI agents
- Direct experience with graph-based knowledge systems
- Experience building automated evaluation frameworks such as LLM-as-judge methodologies or regression testing at-scale for AI quality
Benefits
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
Company Overview
Company H1B Sponsorship