Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed Engineer (AI): Designing and scaling production-grade GenAI observability and evaluation programs for enterprise clients with an accent on custom integrations and technical leadership. Focus on building tooling to extend the AI observability platform, managing complex client engagements, and translating business needs into scalable technical solutions.
Location: Remote (Must be based in the United States)
Company
is a leading AI and Agent Engineering observability and evaluation platform empowering enterprises to ship high-performing, reliable AI applications.
What you will do
- Partner with enterprise AI teams to design and scale production-grade GenAI observability and evaluation programs.
- Lead technical discussions with stakeholders ranging from engineers to senior executives.
- Build custom integrations, tooling, and workflows to extend the Arize platform for specific customer requirements.
- Manage multiple concurrent customer engagements from scoping through delivery.
- Collaborate with Sales, CS, Product, and Engineering to influence product direction and implementation strategy.
- Define and scale technical playbooks and delivery methodologies for the Forward Deployed Engineering team.
Requirements
- 2-5 years of hands-on software development experience.
- Proficiency in at least two of the following languages: Python, Java, or TypeScript.
- Experience building MLOps pipelines and deploying Generative AI applications in production.
- Experience with public cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes.
- Must be based in the United States.
- Strong communication skills for engaging both technical teams and business executives.
Culture & Benefits
- Unlimited paid time off.
- Generous parental leave plan.
- Comprehensive mental and wellness support.
- Commitment to diversity and inclusion with active subgroups (e.g., Lady Arizers).
- Focus on responsible AI through collaboration with industry experts and ethicists.
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