Forward Deployed AI Engineer, West

Job summary

Responsibilities

AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in.

• 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.

What they're looking for

• Software Development: 2-5 years of hands-on software development experience with strong technical foundations.
• 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.
• Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines.

Tech stack

• Python
• Java
• TypeScript
• AWS
• GCP
• Azure
• Docker
• Kubernetes