Sr. AI Engineer

Recruitment Fraud Alert

Weve learned that scammers are impersonating Commvault team membersincluding HR and leadershipvia email or text. These bad actors may conduct fake interviews and ask for personal information such as your social security number.

What to know:

• Commvault doesnotconduct interviews by email or text.
• We will never ask you to submit sensitive documents (including banking information SSN etc) before your first day.

If you suspect a recruiting scam please contact us at

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 companys 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 100000 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 youll 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 /

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 youve 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