前向部署AI工程师,西部
Forward Deployed AI Engineer, West
关于 Arize
AI 正在迅速改变世界。随着生成式 AI 重塑各个行业,团队需要强大的方式来监控、排查问题并优化他们的 AI 系统。这就是我们的用武之地。Arize AI 是领先的 AI 与 Agent 工程可观测性和评估平台,使 AI 工程师能够交付高性能、可靠的代理和应用。从第一个原型到生产规模,Arize AX 在一个工作区中统一了构建、测试和运行——让团队可以更有信心地快速交付。
我们是一家 C 轮融资公司,由顶级投资者支持,获得超过 1.35 亿美元的融资,并拥有快速增长的客户群,包括 150 多家领先企业和财富 500 强公司。Booking.com、Uber、西门子和百事公司等客户使用 Arize 来实现有效的 AI。
机会
我们正在寻找一位经验丰富的 Forward Deployed AI 工程师,直接与客户工程团队合作,管理多个并行项目,并推动超出我们核心平台功能的技术解决方案。这是一个面向客户的、动手能力强的技术岗位,结合深厚的 AI 专业知识和商业敏锐度,在紧张的时间表内交付成果,同时建立持久的客户关系。虽然我们是一家以远程办公为主的公司,但该职位的性质要求候选人位于旧金山湾区/PST 时区。
你将负责
- 直接与企业 AI 团队合作,设计、实施和扩展生产级 GenAI 可观测性和评估计划。
- 与客户利益相关者(从工程师到高级高管)进行技术讨论,将业务优先事项转化为可扩展的技术解决方案。
- 构建定制集成、工具和工作流程,将 Arize 平台扩展以满足客户特定需求。
- 管理多个并行的客户项目,推动项目从规划到交付,同时保持对技术执行和客户体验的高标准。
- 与销售、客户成功、产品和工程团队跨职能协作,塑造实施策略,影响产品方向,并扩大客户影响。
- 帮助定义和扩展最佳实践、技术手册和交付方法,以适应不断壮大的 Forward Deployed 工程团队。
我们寻找
- 软件开发:2-5 年的软件开发经验,具备扎实的技术基础。我们广泛使用 Python、Java 和 TypeScript,期望候选人能够熟练掌握这些语言。
查看英文原文
About Arize
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. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.
We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.
The Opportunity
We are seeking an experienced Forward Deployed AI Engineer to work directly with client engineering teams, manage multiple concurrent projects, and drive technical solutions that extend beyond our core platform offering. This is a client-facing, hands-on technical role that combines deep AI expertise with business acumen to deliver results on tight timelines while building lasting client relationships. While we are a remote-first company, the nature of this role requires candidates to be based in the San Francisco Bay area/PST time zone.
What You’ll Do
- 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.
What We’re Looking For
- Software Development: 2-5 years of hands-on software development experience with strong technical foundations. We work extensively in Python, Java, and TypeScript, and expect candidates to be comfortable working in at least two of those languages.
- 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. You should be comfortable engaging with senior executives on business outcomes and metrics, collaborating with engineers on technical implementation details, and translating seamlessly between the two.
- Project Management: Proven ability to manage multiple client engineering engagements simultaneously and deliver high-quality technical outcomes under demanding timelines.
- Adaptability: Comfortable operating in fast-paced startup or consulting environments, with the ability to navigate diverse client organizations, technical stacks, and evolving priorities.
- Passion for AI: We live and breathe AI at Arize. The strongest candidates are genuinely excited about the space and energized by staying at the forefront of rapidly evolving AI technologies.
The estimated annual salary and variable compensation for this role is between $155,000 - $190,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.
While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.
More About Arize
Arize’s mission is to make the world’s AI work—and work for people.
Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.
Learn more about what we're doing here:
https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/
https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup