20 openings · 3 companies · Updated November 12, 2026
Generative AI and LLM roles: AI engineers, applied scientists and prompt engineers.
20 jobs
We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real…
Other · Python · Go · Kafka · LLM
We are looking for senior/staff engineers to join our  GenAI Search Platform  team to improve our search-based question answering systems, utilizing both traditional machine…
Other · Machine Learning · LLM · Data Science · Security
We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real…
Engineering · Python · Go · Machine Learning · LLM
Senior Staff Software Engineer, Agentic Applications Enterprise Platform Group · Commercialization (Quote-to-Cash) · Mountain View, CA As a Senior Staff Software Engineer on the Agentic…
Databricks · LLM · Product · Sales · Finance
• Design, build and ship safeguards in the agent harness for prompt injection, single and multi-turn jailbreaks, toxicity and sensitive topics, and sensitive data exposure • Build evals…
Other · Python · LLM · Security
• Keep the map of ML usage and safeguards across our products current, and lead the security design of new ML features • Break our safeguards: test the boundaries on jailbreaks, prompt…
Other · Python · Go · LLM · Security
We are looking for an experienced software engineer with expertise building AI-native product and platform to join us in expanding ServiceNow’s customer-facing agentic AI capabilities.…
Engineering · Machine Learning · LLM · Product
Sr. Automation Engineer - IT Asset Management Req ID: GAQ427R222 About the Role As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical…
Infrastructure · Databricks · LLM · Automation · Support
RDQ427R365 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the…
Engineering · Databricks · LLM · UX · Product
We are looking for an Applied AI Engineering Manager, Startups to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from…
Go To Market · Go · Product · Sales
We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers.
Go To Market · Go · Security · Product · Sales
We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the…
Go To Market · Go · Product · Sales · Support
P-1930 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating…
Engineering · Azure · Databricks · LLM · UX
Location: San Francisco or Mountain View, California GAQ327R225 Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on…
Databricks · LLM · Security · Product · Sales
Sr. Staff Software Engineer, AI-Native Web Platform P-1579 About Us: The Web Platform team at Databricks builds and owns the public-facing web experiences that represent Databricks to…
TypeScript · React · Node · Databricks · LLM
Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q&A, HR service delivery — using LLM orchestration…
Engineering - Pipeline · Python · Spark · Databricks · LLM
Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the…
Engineering · SQL · Databricks
P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform,…
Engineering - Pipeline · Databricks · Analytics · Security · Support
P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We’re doing it cross-cloud with a unified platform,…
Engineering - Pipeline · Databricks · Analytics · Security · Support
P-160 Who We Are Our GenAI observability and quality product provides advanced monitoring and insights for GenAI systems, giving customers real-time visibility into their system's…
Engineering - Pipeline · Python · Java · Go · JavaScript
There are 20 open Generative AI jobs in Mountain View, CA right now, posted by 3 employers, including Databricks, ServiceNow and OpenAI. 3 of them were posted in the last seven days, and the newest on November 10, 2026.
Most openings ask for 10+ years of experience; 15% are remote and 0% hybrid; where employers publish pay, ranges run from $176K to $352K a year (median starting pay $251K); the skills asked for most are LLM, Databricks, Go, Security and Product.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
20 Generative AI jobs are open in Mountain View, CA as of November 12, 2026, from 3 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
Databricks (11), ServiceNow (6) and OpenAI (3). Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $176K to $352K, with a median starting figure of $251K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Not at the moment: the current openings ask for three years or more, or do not say.
3 openings are fully remote and 0 hybrid, as stated by the employer. Remote roles are open to people in the US unless the posting names specific states. Pick Remote or Hybrid under Work mode.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
