Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Enterprise AI Systems Engineer role.

Rezi rewrites your resume against Juul Labs's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Enterprise AI Systems Engineer posting at Juul Labs — free, in seconds.

About the Role

Owns and administers enterprise AI platforms including Claude, Gemini, OpenRouter, Cursor, and NotebookLM. Builds and maintains platform content, tracks consumption and spend, ensures platform availability, and operates MCP servers and gateways. Runs the LLM gateway, selects appropriate models, builds agentic workflows, and architects AI workloads on AWS and GCP. Owns GitHub code, instruments the stack for telemetry, and enforces data handling policies.

Responsibilities

Administer enterprise Claude, Gemini, OpenRouter, Cursor and NotebookLM tenants, including user provisioning, groups and roles, workspace configuration, and tenant security settings.
Build and maintain platform content such as skills, prompts, projects, and connectors, along with associated documentation.
Drive adoption of AI platforms across the company.
Track consumption and spend across all platforms, reporting on usage, identifying idle seats, and supporting the business-unit chargeback model.
Ensure platform availability through monitoring, feature rollouts, and user issue triage.
Build and operate MCP servers and gateways to connect platforms to internal systems with least-privilege access and full audit logging.
Run the LLM gateway for centralized routing, authentication, rate limiting, logging, and policy enforcement.
Select appropriate AI models (commercial or open-weight) based on cost, latency, capability, and data sensitivity.
Build agentic workflows and automations against internal APIs and tools with evaluation and guardrails.
Architect and run AI workloads on AWS and GCP, including compute, networking, IAM, secrets management, private connectivity, Bedrock, and Vertex AI.
Own and write code in GitHub, primarily in Python and TypeScript, managing branch protection, access control, secret scanning, and Actions pipelines.
Instrument the stack for cost, performance, and security telemetry, and build reporting for leadership and finance.
Enforce data handling, retention, and access policies in collaboration with Cybersecurity and AI Governance, and create associated runbooks and standards.
Perform related duties as assigned within the scope of practice.

Requirements

5+ years in software, cloud, or platform engineering, with recent hands-on experience building and running LLM-based systems.
Experience administering an enterprise SaaS or AI tenant 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 Model Context Protocol (MCP), MCP gateways, or LLM gateways; comparable API integration and middleware experience is acceptable.
Proficiency in AWS and GCP architecture, including IAM, networking, secrets management, and managed AI services.
Experience with GitHub and standard engineering practices: version control, code review, testing, CI/CD, and infrastructure as code.
Strong Python and/or JavaScript/TypeScript skills for building integrations, automations, and internal tooling.
Understanding of security and data governance fundamentals applied to AI work, including least privilege, data classification, DLP, and auditability.
Ability to explain technical work to executives, finance, and non-technical audiences.

Skills

Python
TypeScript
AWS
GCP
LLM
Prompt Engineering
API Integration
CI/CD
Infrastructure as Code
GitHub
IAM
Networking
Secrets Management
Bedrock
Vertex AI

Location

Greater New York City
San Francisco Bay Area
Greater Boston
Washington DC Metropolitan Area
Seattle/Tacoma
Greater Sacramento
Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)
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
Rest of US including Alaska and Puerto Rico

Work Type

Onsite
Remote
Hybrid

Experience Level

5+ years

Education Level

Bachelor degree in applicable field or relevant work experience

Salary/Compensations

$165,000—$206,000 USD
$150,000—$187,000 USD
$141,000—$176,000 USD
$126,000—$157,000 USD

Benefits

Opportunity to grow career
Work with talented, committed and supportive teammates
Equity and performance bonuses
Cell phone subsidy
Commuter benefits
Discounts on JUUL products
Excellent medical, dental and vision insurance
Disability and life insurance
Family support
Wellness benefits
Legal benefits
Employee assistance program benefits
401(k) plan with company matching
Biannual discretionary performance bonuses

About the Company

Juul 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.
We 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.

Equal Opportunity

Juul 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.