Senior AI/ML ops engineer at Smartsheet Bengaluru, building the platforms and pipelines that deploy and maintain AI services in production.

This full-time Bengaluru role was posted on 30 September 2026. The listing asks for 7-12 years of experience designing, developing and maintaining stable, reliable AI/ML ops platforms and pipelines, with responsibilities including packaging and deploying AI/ML services to production so they are reproducible and interpretable. Requirements include enterprise SaaS solutions with high availability and scalability, and experience handling large-scale structured and unstructured data from varied sources.

About Smartsheet

Smartsheet builds a work management platform used by teams to plan, track and automate projects and processes. Per its listings, the company has operated for over 20 years and is now building AI-agent capabilities into the product.

Smartsheet has an engineering centre in Bengaluru with listings across product engineering, data and technical program roles. Learn more on Smartsheet's website.

The role in plain terms

The 7-12 year band is precisely drawn - senior but not staff - and the reproducible-and-interpretable deployment language indicates mature ML platform expectations, not notebook-to-production hacking. The enterprise SaaS availability requirement means the ML services you ship have real SLAs. The varied-data-source scope suggests the pipelines feed diverse AI features rather than one model.

The team and the work

Per the listing, the work sits in Smartsheet's AI platform direction (uniting human teams with AI agents), so the ops platform supports active, growing AI product investment.

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:

Enterprise SaaS software solutions with high availability and scalability
Solution handling large scale structured and unstructured data from varied data sources
Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
In depth experience in AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
Programming languages like Python and SQL

Who this role suits

ML platform or ML ops engineers with 7-12 years who have run AI services in production at enterprise SaaS scale. Not for data scientists without platform engineering, or platform engineers without ML deployment experience.

Practical notes

For ML ops roles, expect questions on deployment architecture (versioning, rollback, monitoring), reproducibility practices, and a production ML incident you handled. Know the difference between deploying a model and operating a model.

Working at Smartsheet

Engineering at Smartsheet spans the web application platform, data infrastructure and newer AI orchestration features described in its current listings.

How to apply

Apply directly on the employer's site: Senior AI/ML Ops Engineer I at Smartsheet. We found this listing on the Greenhouse public job board (job-boards.greenhouse.io), where it was posted on 30 Sep 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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This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.