Senior Staff Software Development Engineer
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Job Description
Staff Applied AI Engineer building secure, production-grade AI solutions for Zscaler’s cloud security platform. Advising business leaders, shaping roadmaps, and establishing scalable engineering standards.
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
- Establish monitoring and evaluation frameworks, implement least-privilege access, and manage ROI, cost attribution, and support plans for deployments
- Expand reusable building blocks, reference architectures, skills, and engineering playbooks while mentoring team members
Requirements:
- 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
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