Rubrik: Senior AI Engineer, Agentic Systems — Palo Alto, CA

About Rubrik

Rubrik provides data-security and resilience technology for organisations facing cyberattacks, malicious activity and operational disruption. Its recruitment material discusses protecting enterprise information, including data held in business software and cloud environments. The described portfolio includes security and protection for SaaS applications, with attention to access, backup and recovery. Its business connects the technical handling of information with an organisation's ability to keep critical data protected and to recover when normal operations are disrupted.

The position and its setting

Rubrik lists Senior AI Engineer, Agentic Systems in Palo Alto, CA, under reference 8274601. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Information Technology & Services
• Employer listing date: 12 October 2026

Responsibilities and work described

• We want senior engineers who have already shipped agents that real people rely on, and who are ready to do it again at higher stakes
• Drop into the real work, redesign it around agents that carry it end to end, and ship it as the new way that part of Rubrik operates
• You’ll own your agent systems end to end: understanding the workflow, designing the architecture, writing the code, deploying, and running it in production
• Rather than simply querying an API, you engineer robust, production-grade infrastructure around model endpoints, integrating custom tooling, context pipelines, automated evaluations, and defensive guardrails to ensure resilience against unstructured real-world data
• You also decide whether a problem needs an agent, a simpler automation, or nothing at all, and you have explicit authority to stop or re-scope work that won’t deliver impact
• You thrive in ambiguous environments with a low-ego mindset, leveraging AI coding tools as core collaborative partners in your engineering workflow
• Leadership: product discovery alongside Product Managers and domain experts to understand real workflows, map them out, and define clear problems, baselines, and success criteria as the foundation for building agentic solutions
• Design, build, test, and deploy production agents, automations, and internal tools using coding agents, LLM APIs, and agent frameworks, integrated with Rubrik’s internal agent platform and business systems
• Engineer agents for autonomy with reliability, including tool and orchestration flows, context management, caching, retries, and failure handling
• Leverage full-stack engineering across backend services, APIs, data models, interactive screens, approval UIs, and chat interfaces as the complete medium to deliver high-ownership, user-facing agent systems
• Apply software engineering practices to AI systems, treating prompts, skills, configs, and specs as versioned artifacts, with code review, tests, CI or CD, and staged rollouts
• Implementation: evaluation, guardrails, and quality control: derive evals from workflow data, establish quality gates and guardrails, integrate human-in-the-loop approvals where needed, and monitor production runs to refine agents over time
• Use measured results to decide how to evolve or retire agents, and turn successful systems into patterns and libraries that can be reused

Essential requirements and candidate background

• Around 7 or more years of professional software engineering experience in production systems, and around 2 or more years of professional, hands-on experience building AI agents and agent powered production applications with measurable outcomes
• Full stack engineering background, with a track record of designing, building, and owning services end to end, including backend APIs and integrations, data models, and user facing interfaces such as approval UIs, dashboards, or chat surfaces
• A builder mindset: comfortable defining baselines and metrics, reporting results in business terms, working in a fast moving environment, and closing the loop by building, demoing, learning, and building again
• If you like seeing improvements in hours saved, errors avoided, and teams unblocked, you will have plenty of chances to measure that here

Preferred experience and additional strengths

• Knowledge/context graphs: entities and relationships, GraphRAG, hybrid retrieval
• Agent frameworks and runtimes: Google ADK, LangGraph, OpenAI style, cloud or container platforms
• Backend: Python, FastAPI or similar stacks
• Tools integration: MCP, Slack or Teams bots, REST APIs, webhooks
• Data systems: Snowflake, Salesforce, graph stores
• UX: conversational flows, chat surfaces, guided forms, simple dashboards for agent output
• The minimum and maximum base salaries for this role are posted below; additionally, the role is eligible for bonus potential, equity and benefits
• The range displayed reflects the minimum and maximum target for new hire salaries for the role based on U.S. location
• Within the range, the salary offered will be determined by work location and additional factors, including job-related skills, experience, and relevant education or training
• US Pay Range
• $188,500 — $282,700 USD

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Advertised location: Palo Alto, CA

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior AI Engineer, Agentic Systems vacancy is not an offer for reference 8274601; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Rubrik

Applications follow the official employer page linked below.

Open the official Rubrik posting below and match the title and reference 8274601.

Compare your qualifications and experience with the essential conditions for the Palo Alto, CA position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• MCP
• REST APIs
• APIs
• AI/ML
• LLMs
• Salesforce
• AI
• quality control
• audit
• training