--- title: 'Forward Deployed AI Engineer, West at Arize AI' canonical: 'https://feeny.ai/job/forward-deployed-ai-engineer-west-arize-ai-san-francisco-jx995yk0wxw2' type: 'job' last_seen: '2026-09-09' --- # Forward Deployed AI Engineer, West at Arize AI - **Company:** Arize AI - **Location:** San Francisco, CA - **Work type:** remote - **Posted:** 2026-06-15 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/arizeai/jobs/6030953004 ## Job description ## 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](http://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 ## About Arize AI ## Company Overview - **One-liner**: Arize AI provides an agent observability, evaluation, and improvement platform that enables AI teams to trace, debug, evaluate, and continuously improve AI agents and applications in production. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, United States - **Founded**: 2020 - **Founders**: Jason Lopatecki (CEO), Aparna Dhinakaran (CPO) ## Core Business - Primary industry/industries: AI Observability, AI Evaluation, Machine Learning Operations (MLOps), Generative AI Infrastructure - Target customers: B2B; AI engineering teams building production AI applications, chatbots, RAG systems, copilots, and autonomous agents. Serves both startups and large enterprises. - Mission or purpose statement: "Make AI work — and work for the people." ## Products & Services - **[Phoenix (Open Source)](https://arize.com/phoenix/)**: The leading open-source AI observability and evaluation framework. Developers use it to trace AI applications, run evaluations, investigate failures, and improve quality. Built on OpenInference and OpenTelemetry standards. Run locally or self-hosted. Over 5 million downloads per month. - **[Arize AX](https://arize.com/ax/)**: The managed AI engineering platform built on open standards. Adds managed infrastructure with a proprietary observability datastore (ADB), advanced agent observability, online evals, and continual improvement workflows for production AI systems. - **[Alyx](https://arize.com/ax/)**: An AI engineering agent that functions like "Cursor or Claude Code, but for AI engineering." It runs evals, debugs issues, and improves agents autonomously based on a given problem. - **[ADB (Arize DataBase)](https://arize.com/ax/)**: The industry’s fastest and most scaled observability datastore for GenAI traces. Stores in open formats to connect natively to BigQuery, Databricks, or Snowflake via DataFabric. Processes over 1 trillion spans per month. - **Integrations**: Works with 40+ models, frameworks, and AI tools including OpenAI, Anthropic, Google, Amazon Bedrock, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, DSPy, and more. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total Funding – $131 million across three rounds - **Annual Revenue**: $13 million (per LinkedIn estimate) - **Notable Investors/Partners**: TCV (led Series B), Foundation Capital (led Seed Round), and additional undisclosed investors in the Series C round. Partners include major cloud providers (Google Cloud, AWS, Azure) and AI frameworks. - **Growth Signals**: Headcount grew 56.1% YoY to 149 employees. Operates in 13 countries. Processes over 1 trillion spans and 1 billion evals per month. Open-source Phoenix has over 5 million downloads per month. LinkedIn followers grew 50.4% in the last year to 26,740. ## Competitive Advantages - **Open-source leadership**: Phoenix is the dominant open-source standard for GenAI observability, built on OpenInference and OpenTelemetry — ensuring no proprietary lock-in and broad community adoption. - **Comprehensive eval framework**: The market’s most comprehensive evaluation framework, running span, trace, and session evals at scale. - **Agent-native debugging**: End-to-end workflows designed specifically for debugging coding agents (Cursor, Claude Code, OpenCode, etc.) — a differentiated focus as AI agents become mainstream. - **Massive scale**: The ADB datastore processes over 1 trillion spans per month, providing a performance moat for enterprise customers. - **Founding team credibility**: The founders created OpenInference, the leading open standard for GenAI observability. ## Strategic Focus - **Continual learning loop**: Building the infrastructure for "self-improving agents" — enabling AI systems to learn from production signals and improve autonomously. - **Agent-native development**: Doubling down on tools and workflows purpose-built for agentic AI systems (coding agents, multi-agent systems). - **Enterprise scale**: Growing the managed platform (Arize AX) to serve large enterprises with compliance needs (SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR). - **Global expansion**: Hiring across the US, EMEA, APJ (Singapore, Malaysia, South Korea, Australia/New Zealand), and Latin America (Argentina). ## Why Work Here - **Culture**: Described as "outsiders and risk-takers" who challenge the status quo. Values include "Bring Solutions" (own problems, fix them), "Do > Say" (execution over meetings), "N+1" (continuous improvement), and being "maniacally empathetic" of users. - **Remote-first**: Fully remote company with IRL offices in Berkeley and New York. Open roles span the US, EMEA, APJ, and LATAM. - **Benefits**: Open vacation policy, wellness days, sabbatical leave policy, parental leave at 100% salary, professional development stipend, coworking space allowance, technology/workspace stipend, commuter benefits, generous medical/dental/vision plans, and 401(k) plan. - **Engineering culture**: "Progress beats process" — emphasis on prototyping over endless debate, shipping over bureaucracy. Engineers are given agency to make a big impact and grow scope of responsibility. - **Team**: 149 employees across 13 countries. 39 open positions (Engineering, Sales, Solutions Engineering, Product, Security, Marketing). - **Diversity**: Explicit commitment to recruiting and retaining a diverse workforce, promoting an inclusive environment. ## Sources 1. [arize.com](https://arize.com/) 2. [arize.com/careers](https://arize.com/careers/) 3. [arize.com/about-us](https://arize.com/about-us/) 4. [greenhouse.io](http://job-boards.greenhouse.io/arizeai) 5. [linkedin.com](https://www.linkedin.com/company/arizeai) ## Other roles at Arize AI - [Education Engineer](https://feeny.ai/job/education-engineer-arize-ai-san-francisco-9zxrkd55xqkq) — San Francisco, CA - [Documentation Engineer](https://feeny.ai/job/documentation-engineer-arize-ai-san-francisco-hxx4kr0kea9r) — San Francisco, CA - [Expansion Account Executive (West)](https://feeny.ai/job/expansion-account-executive-west-arize-ai-remote-msqw837xphab) - [Talent Community](https://feeny.ai/job/talent-community-arize-ai-remote-j833xwn3sxm5) - [Enterprise Account Executive, East](https://feeny.ai/job/enterprise-account-executive-east-arize-ai-new-york-jyfy6963d60y) — New York, NY - [Enterprise Account Executive, EMEA](https://feeny.ai/job/enterprise-account-executive-emea-arize-ai-emea-902b5n34xgrv) — EMEA - [AI Solutions Manager, Digital Native](https://feeny.ai/job/ai-solutions-manager-digital-native-arize-ai-san-francisco-j2erk7fgxbpj) — San Francisco, CA - [AI Solutions Manager, East](https://feeny.ai/job/ai-solutions-manager-east-arize-ai-new-york-srq639c59hr8) — New York, NY - [Enterprise Account Executive, ANZ](https://feeny.ai/job/enterprise-account-executive-anz-arize-ai-australia-new-zealand-h2sxxyg022pw) — Australia / New Zealand - [Forward Deployed AI Engineer, East](https://feeny.ai/job/forward-deployed-ai-engineer-east-arize-ai-new-york-zgvv3gj4q6qk) — New York, NY