Arize AI - Forward Deployed Engineer, APJ
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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. • Software Development: • ML/AI Engineering: Experience building MLOps pipelines and/or developing, deploying, and iterating on Generative AI applications in production environments.. • ML/AI Engineering: • 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). • Cloud Technologies • 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. • Communication: • Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines. • Project Management: • Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities. • Adaptability: • 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. • Passion for AI: • 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.
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. • Help define and scale best practices, technical playbooks, and delivery methodologies for the growing Forward Deployed Engineering team.
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