{"id":948363,"url":"https://alion.io/job/juul-labs-enterprise-ai-systems-engineer","title":"Enterprise AI Systems Engineer","company":{"id":3695,"name":"Juul Labs","domain":"juullabs.com","url":"https://alion.io/company/juul-labs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States","Dallas, United States","San Francisco, United States","Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":144000,"max_usd":274000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1124},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"DLP","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenRouter","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"RAG","optional":true},{"name":"SIEM","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-09-15T20:28:33Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-14T06:41:51Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"THE COMPANY:\nJuul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.\nWe are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.\nROLE AND RESPONSIBILITIES: \nYou 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.\nAdminister our enterprise Claude, Gemini, OpenRouter, Cursor and NotebookLM tenants. User provisioning, groups and roles, workspace configuration, and tenant security settings.\nBuild 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.\nTrack consumption and spend across all three platforms. Report on usage, find idle seats, and support the business-unit chargeback model.\nKeep the platforms running. Availability monitoring, feature rollouts, user issue triage, and escalation ownership when something breaks.\nBuild and operate the MCP servers and gateways that connect these platforms to internal systems, with least-privilege access and full audit logging.\nRun the LLM gateway that centralizes routing, authentication, rate limiting, logging, and policy enforcement across model providers.\nChoose the right model for each workload, commercial or open-weight, based on cost, latency, capability, and how sensitive the data is.\nBuild agentic workflows and automations against internal APIs and tools, with the evaluation and guardrails to keep them predictable.\nArchitect and run AI workloads on AWS and GCP: compute, networking, IAM, secrets management, private connectivity, Bedrock, and Vertex AI.\nOwn the code in GitHub and write most of it yourself, mostly Python and TypeScript. Branch protection, access control, secret scanning, and Actions pipelines.\nInstrument the stack for cost, performance, and security telemetry, and build the reporting that leadership and finance rely on.\nEnforce data handling, retention, and access policy alongside Cybersecurity and AI Governance, and write the runbooks and standards behind it.\nPerform related duties as assigned, within your scope of practice \nPERSONAL AND PROFESSIONAL QUALIFICATIONS: \n5+ years in software, cloud, or platform engineering, including recent hands-on work building and running LLM-based systems.\nExperience administering an enterprise SaaS or AI tenant at scale: access management, configuration, cost control, and adoption.\nWorking knowledge of both commercial and open-weight LLMs, including prompt engineering, evaluation, retrieval, and agentic patterns.\nHands-on with Model Context Protocol (MCP), MCP gateways, or LLM gateways. Comparable API integration and middleware experience counts.\nAWS and GCP architecture, including IAM, networking, secrets management, and managed AI services.\nGitHub and standard engineering discipline: version control, code review, testing, CI/CD, and infrastructure as code.\nStrong Python and/or JavaScript/TypeScript for building integrations, automations, and internal tooling.\nSecurity and data governance fundamentals applied to AI work: least privilege, data classification, DLP, and auditability.\nAble to explain technical work to executives, finance, and people who do not work in technology.\nNice 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.\nEDUCATION: \nPreferred, bachelor degree in applicable field or relevant work experience\nJUUL LABS PERKS & BENEFITS:\nA place to grow your career. We’ll help you set big goals - and exceed them\nPeople. Work with talented, committed and supportive teammates\nEquity and performance bonuses. Every employee is a stakeholder in our success\nCell phone subsidy, commuter benefits and discounts on JUUL products\nExcellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits\n401(k) plan with company matching\nPlus biannual discretionary performance bonuses\nJuul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US.\nSALARY RANGES:\nSalary varies by role, level and location, and is dependent on the cost of labor in a given\ngeographic region among other factors. These ranges may be modified at any time.\nLOCATIONS:\nTier 1 Locations: Greater New York City, and San Francisco Bay Area\nTier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,\nGreater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)\nTier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater\nPhiladelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,\nAtlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,\nMinneapolis/St. Paul, Colorado, Phoenix, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver\nWash., Rest of California, Hawaii\nTier 4 Locations: Rest of US including Alaska and Puerto Rico\nTier 1 Range:\n$165,000—$206,000 USD\nTier 2 Range:\n$150,000—$187,000 USD\nTier 3 Range:\n$141,000—$176,000 USD\nTier 4 Range:\n$126,000—$157,000 USD","description_format":"text","description_chars":6384,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Tobacco, Vapes & Smoking Accessories"],"lifecycle":[{"event":"open","at":"2026-09-15T22:26:37Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 8 · green card filings: 4","filings_12m":8,"filings_prev_12m":8,"green_card_filings_12m":4,"median_offered_wage_usd":154167,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":2}],"liveness":{"score":73,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.814,"p_room":0.9,"age_days":28,"expected_fill_days":54,"reasons":["conf:5","win:mid"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/juul-labs-enterprise-ai-systems-engineer","json_url":"https://alion.io/job/juul-labs-enterprise-ai-systems-engineer.json","meta":{"generated_at":"2026-10-14T10:49:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12791,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3695},"rest":"https://alion.io/mcp/rest/get_company?id=3695"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjuul-labs-enterprise-ai-systems-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjuul-labs-enterprise-ai-systems-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjuul-labs-enterprise-ai-systems-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/juul-labs-enterprise-ai-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjuul-labs-enterprise-ai-systems-engineer"}]}