Arize AI

Forward Deployed Engineer, US

Arize AI$120K — $150K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years of software development experience, proficient in Python, Java, and TypeScript.
  • Experience building MLOps pipelines and deploying Generative AI applications in production.
  • Familiarity with public cloud platforms such as AWS, GCP, and Azure, along with Docker and Kubernetes.
  • Strong communication skills to engage both technical and business stakeholders effectively.
  • Proven project management skills, able to juggle multiple client engagements and meet deadlines.
  • Ability to adapt in fast-paced environments typical of startups or consulting roles.
  • Genuine passion for AI and eagerness to stay updated on evolving technologies.

Responsibilities

  • Partner with enterprise AI teams to design and scale GenAI observability programs.
  • Lead customer discussions, translating business needs into technical solutions.
  • Build custom integrations and workflows tailored to client requirements.
  • Manage multiple projects from scoping to delivery while ensuring high quality.
  • Collaborate with Sales, CS, Product, and Engineering teams to define implementation strategies.
  • Help establish best practices and methodologies for the Forward Deployed Engineering team.

Benefits

  • Unlimited paid time off.
  • Generous parental leave plan.
  • Support for mental and wellness initiatives.
Full Job Description
The Opportunity

We are 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.
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 We're Looking For
  • Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages.
  • ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments..
  • Cloud Technologies: Experience working with public cloud platforms (e.g., AWS, GCP, Azure) as well as containerization and orchestration technologies (e.g., Docker and Kubernetes).
  • Communication: Excellent communication skills with the ability to work effectively across both technical and business audiences. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two.
  • Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines.
  • Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities.
  • Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies.

Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

About Arize AI

Arize AI is a software company that provides a machine learning observability platform. The platform helps data scientists and machine learning engineers to monitor, explain, and optimize their machine learning models. Arize AI was founded in 2019 by Jason Strong and co-founder Alex Tsyplikhin. The company is headquartered in Cambridge, Massachusetts.
Learn more about Arize AI
Size
20 employees
Industry
Founded
2019

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