PitchMeAI Jobs
Juul Labs

Enterprise AI Systems Engineer

Juul Labs · Austin, Texas, United States; Dallas, Texas, United States; San Francisco, California, United States; Washington, District of Columbia, United States

Posted 1 day ago

or apply directly on Juul Labs's site. We never take the application ourselves.

Is this posting real?

This role has been open
1 day
Juul Labs's roles stay open a median of 24 days
Reposted
No
Salary listed
No
0% of Juul Labs's roles list one
Ghost-job risk at Juul Labs
moderate
4 stale, 2 reposted of 17 open
Hiring momentum
25 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Juul Labs's own greenhouse board since 2026-08-03. Full hiring picture for Juul Labs.

About this role

As an Enterprise AI Systems Engineer at Juul Labs, you will be responsible for managing and optimizing AI platforms used across the company. Your role involves administering enterprise AI tenants, building useful content, tracking usage and costs, ensuring platform availability, and integrating AI workloads on AWS and GCP. You will also be expected to write code primarily in Python and TypeScript, enforce data governance policies, and communicate technical details to non-technical stakeholders.

Our read on this posting3.8out of 5
benefits
4/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Juul Labs as an employer.

What you need

  • 5+ years in software, cloud, or platform engineering, including recent hands-on work building and running LLM-based systems
  • Experience administering an enterprise SaaS or AI tenant at scale: access management, configuration, cost control, and adoption
  • Working knowledge of both commercial and open-weight LLMs, including prompt engineering, evaluation, retrieval, and agentic patterns
  • Hands-on with Model Context Protocol (MCP), MCP gateways, or LLM gateways
  • AWS and GCP architecture, including IAM, networking, secrets management, and managed AI services
  • GitHub and standard engineering discipline: version control, code review, testing, CI/CD, and infrastructure as code

Nice to have

  • Vertex AI or Amazon Bedrock
  • self-hosted open-weight model deployment
  • vector databases and RAG pipelines
  • Splunk or another SIEM
  • cloud cost management

What you get

  • A place to grow your career. We’ll help you set big goals - and exceed them
  • People. Work with talented, committed and supportive teammates
  • Equity and performance bonuses. Every employee is a stakeholder in our success
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
  • 401(k) plan with company matching

Worth weighing

  • No specific salary listed, but ranges provided based on location and role
  • Role requires significant hands-on technical work and ownership of platforms
  • The position involves working with AI systems, which may be subject to rapid changes and updates in technology

Summarised from Juul Labs's posting. Read the full original.

Listed by Juul Labs on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at Juul Labs

All 17 open roles at Juul Labs →

Apply to an Enterprise AI Systems Engineer position at Juul Labs - Jobs near me at Austin, Texas and 7 more locations