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Arize AI

Forward Deployed AI Engineer

RemoteUnited States only· UTC-8…UTC-8
Published
Role
AI / ML
Experience
Mid
Employment
Full-time
Company size
Startup
$155k–$190k/yr
Check eligibility

Open to US only · UTC-8…UTC-8. Set where you work from to check your eligibility.

No BS summary

Arize AI is seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. Candidates must be based in the San Francisco Bay area/PST time zone.

Core skills

Generative AIMLOps

Required skills

PythonJavaTypeScriptDockerKubernetes

Required languages

English

What you'll do

  • 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.
  • Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team.

What they require

  • 2-5 years of hands-on software development experience with strong technical foundations.
  • Comfortable working in at least two of Python, Java, and TypeScript.
  • Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.
  • Experience working with public cloud platforms (e.g., AWS, GCP, Azure).
  • Excellent communication skills with the ability to work effectively across both technical and business audiences.
  • Comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two.
  • Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines.
  • Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities.
  • Genuinely excited about the AI space and energized by staying at the forefront of rapidly evolving AI technologies.

Benefits

  • medical
  • dental
  • vision
  • 401(k) plan
  • unlimited paid time off
  • generous parental leave plan
  • others for mental and wellness support
  • WFH monthly stipend to pay for co-working spaces

Artificial Intelligence

AIStartup
Also posted in 1 other channel
$155k–$190k/yr