Forward Deployed Engineer
New
A
Arize AIAI Observability
Remote (Singapore)Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2-5 years
- Required Skills
- AWSDockerPythonGCPJavaKubernetesTypeScriptAzureMLOpsGenerative AI
Requirements
- 2-5 years of hands-on software development experience with strong technical foundations.
- Comfortable working in at least two of the following languages: Python, Java, or 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).
- Experience with containerization and orchestration technologies (e.g., Docker and Kubernetes).
- Excellent communication skills with the ability to work effectively across both technical and business audiences.
- 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.
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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