Forward Deployed Ai Engineer Job at Arize (San Francisco)

Job Description

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. 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.

Job Responsibility

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

Requirements

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

What we offer

competitive equity package
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

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Forward Deployed Ai Engineer

Job Description

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