Arize AI

Arize AI

Forward Deployed AI Engineer, West

Remote (San Francisco) · Mid

Sponsorship not specified$155k-$190kDetected 23 days ago
TypeScriptPythonJavaAWSGCPAzureCloud PlatformsDockerKubernetesMachine LearningLLMsMLOpsProject ManagementCommunicationAdaptability

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role76
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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About the role

  • While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.

Responsibilities

  • Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs.
  • Lead technical discussions with customer stakeholders ranging from engineers to senior executives, translating business priorities into scalable technical solutions.
  • Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements.
  • Manage multiple concurrent customer engagements, driving projects from scoping through delivery while maintaining a high bar for technical execution and customer experience.
  • Collaborate cross-functionally with Sales, CS, Product, and Engineering teams to shape implementation strategy, influence product direction, and expand customer impact.
  • ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments..
  • Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines.

Requirements

  • 2-5 years of hands-on software development experience with strong technical foundations.
  • Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes).
  • Excellent communication skills with the ability to work effectively across both technical and business audiences.
  • Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities.
  • Software Development: 2-5 years of hands-on software development experience with strong technical foundations.
  • Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences.
  • Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities.

Skills

  • For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
  • More About Arize
  • Arize's mission is to make the world's AI work-and work for people.
  • Learn more about what we're doing here:
  • https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
  • https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
  • Diversity & Inclusion @ Arize
  • We actively hope that individuals contribute to a good culture
  • Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
  • Culturally conscious events such as LGBTQ trivia during pride month
  • We have an active Lady Arizers subgroup

Compensation

  • The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package.

Company info

  • While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person.
  • What We're Looking For
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This listing is sourced directly from Arize AI's careers page and normalized into a canonical job model.