Senior AI engineer on Rubrik's Enterprise AI Incubation team in Bengaluru, shipping agentic systems that real workflows depend on - with explicit authority to say when a problem does not need an agent.

This full-time Bengaluru role was posted on 28 October 2026. The listing describes the Enterprise AI Incubation team, which proves AI transformation on Rubrik itself, building applications that learn from company data and act through agents. The role leads product discovery with product managers and domain experts to map real workflows and define problems, then builds and owns the resulting services end to end. Notably, the listing says you decide whether a problem needs an agent, a simpler automation, or nothing at all, with explicit authority to stop or re-scope work. The listing asks for around 7+ years in production software engineering, around 2+ years working professionally with AI systems, and a strong full-stack background.

About Rubrik

Rubrik builds data security software: backup and recovery, ransomware protection and data posture management for enterprise data across cloud and on-premise systems. Its current listings describe a push into AI, including internal enterprise-AI platforms and agentic systems.

Bengaluru is one of Rubrik's main engineering centres, hosting teams across core engineering, IT, security and AI work, per its listings. Learn more on Rubrik's website.

The role in plain terms

The authority-to-say-no clause is the most telling line in this listing: it signals the team wants engineering judgment over AI enthusiasm, and that the company has likely felt the cost of agent-washing already. The discovery-led responsibilities mean this is closer to a product-engineer-meets-AI role than a research seat - you map workflows with domain experts before building. The metrics language (define baselines, report results in business terms) sets an accountability bar many AI roles avoid.

The team and the work

Per the listing, the team is fully backed by executive leadership and works on internal enterprise transformation, so the users are Rubrik's own organisation and the feedback loop is short. The experience bar combines deep production engineering (7+ years) with hands-on AI work (2+ years), which filters out both pure ML researchers and engineers with only tutorial-level AI exposure.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

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...
Strong full stack engineering background, with a track record of designing, building, and owning services end to end, including backend APIs and integrations, data models,...
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,...
System design: break down complex problems, design APIs and data models, reason about latency, throughput, and failure modes, and choose simple, robust architectures.
Algorithms, data structures, access control permissions, and data provenance.
Spec driven development: turn vague requirements into clear problem statements, write or refine design docs, and use a Spec → Plan → Task → Code→...
Execution discipline: use version control, code review, automated tests, CI or CD, staged rollouts and rollbacks, logging, metrics, and tracing, and improve systems based on...
Build agents in code using LLM APIs, SDKs, and libraries, not just no code or low code tools, and have shipped agentic systems that real...

Who this role suits

Senior full-stack engineers with 7+ years who have shipped AI-powered features or agents used in production and can show business outcomes. Not for ML specialists without production engineering depth, or engineers who want to train models rather than build products around them.

Practical notes

For applied agentic-AI roles, expect questions on evaluation: how you measure whether an agent works, what you do when it fails, and when you chose a simpler solution. Prepare one story where you stopped or simplified an AI approach.

Working at Rubrik

Engineering at Rubrik covers distributed systems for data protection at enterprise scale, plus newer AI platform teams. Listings emphasize production ownership and hands-on depth in systems languages and Kubernetes.

How to apply

Apply directly on the employer's site: Sr AI Engineer, Agentic Systems at Rubrik. We found this listing on the Greenhouse public job board (rubrik.com), where it was posted on 28 Oct 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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