Arize AI
Forward Deployed AI Engineer, East
About this role
Arize AI seeks a Forward Deployed AI Engineer to work directly with enterprise clients on implementing production-grade generative AI observability and evaluation solutions. You'll manage multiple concurrent customer engagements, build custom integrations, and translate business needs into scalable technical implementations while collaborating across teams.
What you'll do
- Partner with enterprise AI teams to design and scale production GenAI observability programs
- Lead technical discussions with customer stakeholders from engineers to executives
- Build custom integrations and workflows extending the Arize platform for client needs
- Manage multiple concurrent customer projects from scoping through delivery
- Collaborate cross-functionally with Sales, CS, Product, and Engineering teams
- Define and scale best practices and technical playbooks for the team
What they're looking for
- Software development (2-5 years) in Python, Java, and/or TypeScript
- MLOps pipeline development and generative AI deployment
- Cloud platforms (AWS, GCP, Azure)
- Docker and Kubernetes containerization
- Cross-functional communication with technical and business audiences
- Project management and multi-client engagement coordination
- Adaptability in fast-paced startup environments
Benefits
- Competitive salary $155,000 - $225,000 plus equity package
- Medical, dental, and vision coverage
- 401(k) plan
- Unlimited paid time off
- Generous parental leave
- Mental health and wellness support
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Arize AI
Arize AI builds observability and evaluation solutions for production generative AI systems, helping enterprise customers monitor and secure their AI deployments. The company is hiring Forward Deployed AI Engineers to implement these solutions directly with clients, DevSecOps Engineers to secure AI infrastructure, and AI Sales Engineers to guide enterprise customers through technical evaluations and deployments.
- Website
- arize.ai
Likely interview questions
- Walk us through a time you deployed a generative AI application to production. What observability or monitoring challenges did you encounter, and how did you address them?
- Describe your experience building custom integrations or extensions on top of an existing platform. How did you balance platform constraints with customer-specific requirements?