Arize AI Series C
Forward Deployed Engineer
San Francisco, CA Hybrid Entry (0-2 yrs) Added Jun 23
About the role
<div class="content-intro"><h3>About Arize</h3>
<p>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. <strong data-stringify-type="bold">Arize AI is the leading AI & Agent Engineering observability and evaluation platform</strong>, 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.</p>
<p>We’re a <strong data-stringify-type="bold">Series C</strong> company backed by top-tier investors,<strong data-stringify-type="bold"> </strong>with<strong data-stringify-type="bold"> over $135M in funding</strong> and a rapidly growing customer base of <strong data-stringify-type="bold">150+ leading enterprises and Fortune 500 companies. </strong>Customers like <a class="c-link" href="http://booking.com/" target="_blank" data-stringify-link="http://Booking.com" data-sk="tooltip_parent">Booking.com</a>, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><h3><strong>The Opportunity</strong></h3>
<p>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. <strong>While we are a remote-first company, the nature of this role requires candidates to be based in the Singapore area.</strong></p>
<h3>What You’ll Do</h3>
<ul>
<li>Partner directly with enterprise AI teams to design, implement, and scale production-grade GenAI observability and evaluation programs.
Industry
AI/ML Observability
Top skills for this role
- GenAI observability and evaluation in production
- 2. Python/Java/TypeScript engineering (Docker/Kubernetes/cloud)
- 3. Enterprise customer engagement across technical and executive audiences
Languages
PythonJavaTypeScript (proficiency in at least 2 required)
Frameworks & tools
DockerKubernetesAWSGCPAzure
AI / ML skills
MLOps pipeline developmentGenAI application deployment and iteration in productionAI observability and evaluation for production systems
Customer skills
Technical and business audience communication, executive stakeholder engagement, multi-concurrent-project management, consulting/startup environment navigation
Domain knowledge
GenAI observability, enterprise production AI systems, MLOps infrastructure
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