ROLE AND RESPONSIBILITIES:- You own these platforms end to end. What you build gets used across the whole company, and you decide how AI runs here rather than inheriting someone else's design.
- Administer our enterprise Claude, Gemini, OpenRouter, Cursor and NotebookLM tenants. User provisioning, groups and roles, workspace configuration, and tenant security settings.
- Build and maintain the content that makes those platforms useful: skills, prompts, projects, connectors, and the documentation behind them. Drive adoption across 250 users and growing.
- Track consumption and spend across all three platforms. Report on usage, find idle seats, and support the business-unit chargeback model.
- Keep the platforms running. Availability monitoring, feature rollouts, user issue triage, and escalation ownership when something breaks.
- Build and operate the MCP servers and gateways that connect these platforms to internal systems, with least-privilege access and full audit logging.
- Run the LLM gateway that centralizes routing, authentication, rate limiting, logging, and policy enforcement across model providers.
- Choose the right model for each workload, commercial or open-weight, based on cost, latency, capability, and how sensitive the data is.
- Build agentic workflows and automations against internal APIs and tools, with the evaluation and guardrails to keep them predictable.
- Architect and run AI workloads on AWS and GCP: compute, networking, IAM, secrets management, private connectivity, Bedrock, and Vertex AI.
- Own the code in GitHub and write most of it yourself, mostly Python and TypeScript. Branch protection, access control, secret scanning, and Actions pipelines.
- Instrument the stack for cost, performance, and security telemetry, and build the reporting that leadership and finance rely on.
- Enforce data handling, retention, and access policy alongside Cybersecurity and AI Governance, and write the runbooks and standards behind it.
- Perform related duties as assigned, within your scope of practice
PERSONAL AND PROFESSIONAL QUALIFICATIONS:- 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. Comparable API integration and middleware experience counts.
- 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.
- Strong Python and/or JavaScript/TypeScript for building integrations, automations, and internal tooling.
- Security and data governance fundamentals applied to AI work: least privilege, data classification, DLP, and auditability.
- Able to explain technical work to executives, finance, and people who do not work in technology.
- Nice to have: Vertex AI or Amazon Bedrock, self-hosted open-weight model deployment, vector databases and RAG pipelines, Splunk or another SIEM, and cloud cost management.
EDUCATION:- Preferred, bachelor degree in applicable field or relevant work experience
JUUL LABS PERKS & BENEFITS:- 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
- Plus biannual discretionary performance bonuses
SALARY RANGES:Salary varies by role, level and location, and is dependent on the cost of labor in a given
geographic region among other factors. These ranges may be modified at any time.
LOCATIONS:Tier 1 Locations: Greater New York City, and San Francisco Bay Area
Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,
Greater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)
Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater
Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,
Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,
Minneapolis/St. Paul, Colorado, Phoenix, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver
Wash., Rest of California, Hawaii
Tier 4 Locations: Rest of US including Alaska and Puerto Rico
Tier 1 Range:
$165,000-$206,000 USD
Tier 2 Range:
$150,000-$187,000 USD
Tier 3 Range:
$141,000-$176,000 USD
Tier 4 Range:
$126,000-$157,000 USD
