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Enterprise AI Systems Engineer

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Enterprise AI Systems Engineer in USA new

  • Juul Labs
  • Full time
  • Email
  • Washington, DC

Responsibilities

  • Administer enterprise Claude, Gemini, OpenRouter, Cursor, and NotebookLM tenants, including provisioning, roles, configuration, and security settings.
  • Build and maintain prompts, skills, projects, connectors, documentation, and adoption programs for enterprise AI platforms.
  • Track platform consumption and spend, identify idle seats, and support business-unit chargebacks.
  • Operate platform monitoring, feature rollouts, issue triage, and escalation processes.
  • Build and operate MCP servers, MCP gateways, and LLM gateways with least-privilege access, authentication, rate limiting, policy enforcement, and audit logging.
  • Select commercial and open-weight models based on cost, latency, capability, and data sensitivity.
  • Build agentic workflows, automations, evaluations, and guardrails against internal APIs and tools.
  • Architect and operate AI workloads on AWS and GCP, including compute, networking, IAM, secrets management, private connectivity, and managed AI services.
  • Write and maintain Python and TypeScript code, GitHub repositories, access controls, secret scanning, and Actions pipelines.
  • Instrument cost, performance, and security telemetry and produce reporting for leadership and finance.
  • Enforce AI data handling, retention, access, governance, and security policies and create related runbooks and standards.

Requirements

  • 5+ years of experience in software, cloud, or platform engineering, including recent hands-on work building and operating LLM-based systems.
  • Experience administering enterprise SaaS or AI tenants at scale, including access management, configuration, cost control, and adoption.
  • Working knowledge of commercial and open-weight LLMs, prompt engineering, evaluation, retrieval, and agentic patterns.
  • Hands-on experience with MCP, MCP gateways, LLM gateways, or comparable API integration and middleware.
  • Experience architecting AWS and GCP environments with IAM, networking, secrets management, and managed AI services.
  • Experience with GitHub, version control, code review, testing, CI/CD, and infrastructure as code.
  • Strong Python and/or JavaScript/TypeScript skills for integrations, automations, and internal tooling.
  • Knowledge of security and data governance fundamentals including least privilege, data classification, DLP, and auditability.
  • Ability to explain technical work to executives, finance, and nontechnical stakeholders.
  • Preferred experience with Vertex AI or Amazon Bedrock, self-hosted open-weight model deployment, vector databases, RAG pipelines, Splunk or another SIEM, and cloud cost management.
  • Preferred bachelor’s degree in an applicable field or relevant work experience.

Benefits

  • Equity and performance bonuses, including biannual discretionary performance bonuses.
  • Cell phone subsidy, commuter benefits, and discounts on JUUL products.
  • Medical, dental, vision, disability, and life insurance.
  • Family support, wellness, legal, and employee assistance program benefits.
  • 401(k) plan with company matching.
  • Career development support and collaboration with talented, supportive teammates.

Salary: $126k - $206k/yr

Juul Labs

Juul Labs manufactures and sells nicotine vapor products for adult smokers, centered on the JUUL device and prefilled e‑liquid pods. The privately held company designs its own hardware, firmware, and aerosol systems and distributes through retail and e‑commerce in the U.S. and select internationa...

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