À propos de ce poste Sr. AI Engineer chez Commvault
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About Commvault
Commvault (NASDAQ: CVLT) is the gold standard in cyber resilience. The company empowers customers to uncover, take action, and rapidly recover from cyberattacks – keeping data safe and businesses resilient. The company’s unique AI-powered platform combines best-in-class data protection, exceptional data security, advanced data intelligence, and lightning-fast recovery across any workload or cloud at the lowest TCO. For over 25 years, more than 100,000 organizations and a vast partner ecosystem have relied on Commvault to reduce risks, improve governance, and do more with data.
Senior AI Engineer
The senior-most builder. You own the platform every other AI engineer builds on — architecture, roadmap, and the reference code, written by you.
01 The role
You are a Senior-level individual contributor - no direct reports. You lead through architecture and code, not
through a team. You own the shared platform the rest of AI Engineering builds on: the agent runtime, the
orchestration framework, the shared services, the golden paths, and the standards everyone codes against.
You set technical direction by shipping reference implementations, not slide decks. When a hard problem shows
up — a new agent pattern, a scaling wall, a reliability gap — you are the one who prototypes the answer and turns
it into something the team can reuse.
02 What you’ll own
▪ Own the platform architecture end to end - agent runtime, orchestration, shared services, and the abstractions
that let every other engineer move fast without reinventing the core.
▪ Own the technical roadmap - sequence the platform work, make the build-vs-buy calls, and defend the tradeoffs
to engineering and business leadership.
▪ Write the reference implementations - the first real version of each new capability, production-grade, that the
team then extends and specialises.
▪ Set and enforce standards - coding, evaluation, security, cost, and observability. You codify them as libraries and
templates, not documents nobody reads.
▪ Solve the hardest problems personally - scaling limits, non-deterministic failure modes, latency and cost ceilings,
cross-agent coordination.
▪ Design for safe autonomy at platform level - guardrail primitives, approval-gate patterns, and hard limits that
every agent inherits by default.
▪ Raise the engineering bar - review the critical designs and PRs, mentor through code, and make the strong
engineers around you stronger. Influence, not authority.
▪ Tie the platform to business outcomes - faster delivery, lower run-cost, higher reliability - and report the
leverage the platform actually created.
03 What you bring
▪ Deep fundamentals - algorithms, data structures, distributed systems, and system design at a level you can
defend under pressure.
▪ A track record of owning platforms or frameworks that other engineers built on - not just features.
▪ Production AI depth - you have shipped LLM/agent systems to real users and operated them, not just
prototyped.
▪ The judgement to say no - you kill complexity that will not pay off and keep the platform simple enough to
maintain.
▪ Influence without a title - you align senior engineers through the quality of your thinking and your code.
▪ Intellectual honesty about AI limits and patience with non-determinism - you engineer around failure modes
systematically.
▪ Clear executive communication - you make architecture and tradeoffs legible to non-technical leadership.
04 The stack
Core Engineering · Must have
Deep OOP (Python, C# or Java), REST & event-driven API design, async & concurrency, Azure Functions / App Service (or
GCP / AWS equivalent), Service Bus, SQL & data modelling, Git · CI/CD, testing, system design at scale
AI & Platform · Must have
Azure OpenAI / LLM APIs, agent runtime & orchestration design, LangChain / LangGraph, Semantic Kernel, tool use /
function calling, RAG at scale, MCP servers & tools, multi-agent patterns, A2A protocols, AI security & robustness
Operations & Governance · Must have
Guardrail & autonomy-limit frameworks, human-in-the-loop design, drift & hallucination monitoring, prompt / model
version management, token cost control, eval & regression frameworks, outcome instrumentation
Bonus · Nice to have
Vector DB internals, LLM observability, fine-tuning, multimodal AI, Salesforce / Dynamics 365 / Gainsight, IaC, Azure Data
Factory, TypeScript / Node.js
05 How we hire
▪ 01 · HR – Screen: Communication, culture fit, work ethic.
▪ 02 · HackerRank Test. 85% is the cutoff percentage.
▪ 03 · Tech – Build with us: Platform architecture deep-dive + live coding on a hard agent/scaling problem with
Rama Mahendravada. Video on, computer & solid internet required.
▪ 04 · HR – Final round: Offer & wrap-up.
Show us something you’ve shipped.
A GitHub repo, a deployed system, or a detailed write-up of a real project beats any certification. If clean code and
hard problems are your thing - you belong here
Commvault is an equal opportunity workplace and is an affirmative action employer. We are always committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status and we will not discriminate against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we work.
Commvault’s goal is to make interviewing inclusive and accessible to all candidates and employees. If you have a disability or special need that requires accommodation to participate in the interview process or apply for a position at Commvault, please email [email protected] For any inquiries not related to an accommodation please reach out to [email protected].
