Forward Deployed AI Engineer

🕒 June 15

🏄 California – Remote

🏄 California – Remote

💵 $125k - $175k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Arize AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Arize AI is a company that provides a comprehensive AI observability and evaluation platform designed for AI engineers to build and manage AI applications, particularly those involving large language models (LLMs). The platform offers end-to-end AI tracing, monitoring, and evaluation tools to help users identify and resolve performance bottlenecks, ensure data quality, and improve the performance of AI systems. Arize also supports experimentation and visualization, enabling users to iterate rapidly on AI applications and maintain high-quality service delivery. The company caters to top AI companies, offering solutions for both online and offline LLM evaluation and observability. Arize's tools are particularly valuable for AI model monitoring, troubleshooting, and performance optimization, helping businesses mitigate risks and improve AI outcomes.

📋 Description

• 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

• 2-5 years of hands-on software development experience with strong technical foundations • 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) as well as 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 • Passion for AI

🏖️ Benefits

• medical • dental • vision • 401(k) plan • unlimited paid time off • generous parental leave plan • others for mental and wellness support