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Arize Jobs (NOW HIRING)

Arize AI

Forward Deployed AI Engineer, East

$155K - $190K/yr

Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. * Manage multiple concurrent customer engagements, driving projects from ...

Arize AI

AI Solutions Manager, West

$140K - $175K/yr

You'll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal ...

Arize AI

Forward Deployed AI Engineer, West

$155K - $190K/yr

Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. * Manage multiple concurrent customer engagements, driving projects from ...

Arize AI

Open Source AI Engineer (Typescript)

$185K - $200K/yr

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to ...

Arize AI

AI Solutions Manager, East

$140K - $175K/yr

You'll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal ...

Intellisoft Technologies

SRE Engineer - MLOps

Malvern, PA · On-site

$56 - $74.25/hr

SRE Engineer - MLOps & Arize AI Location: Malvern, PA -- 100% Onsite Duration: 6 Months Experience: 6-8 Years Candidates with a combination of strong AWS SRE + MLOps + Arize AI/ML observability ...

New

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

Arize AI

AI Solutions Manager, Digital Native

$140K - $175K/yr

Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. * Collaborate with technical teams, including ...

Arize AI

AI Solutions Manager, SMB

$140K - $175K/yr

Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. * Collaborate with technical teams, including ...

Merican

AI Observability Engineer

Charlotte, NC · On-site

Implement AI observability using tools like Arize to monitor model performance, prompt quality, hallucinations, latency, and inference metrics. * Establish AI governance, evaluation frameworks, and ...

Tata Consultancy Service Limited

Technical Lead

Plano, TX · On-site

$120K - $137K/yr

Develop custom Claude Skills/Plugins and integrate Arize reports. Agentic AI Platform Architecture: Design and deploy multi-agent systems (Amazon Bedrock, Claude Sonnet, LangGraph) for enterprise ...

Tata Consultancy Service Limited

Technical Lead

Plano, TX · On-site

$120K - $137K/yr

Develop custom Claude Skills/Plugins and integrate Arize reports. Agentic AI Platform Architecture: Design and deploy multi-agent systems (Amazon Bedrock, Claude Sonnet, LangGraph) for enterprise ...

CEDENT

MLOps Engineer

$40 - $60/hr

Data validation & monitoring (Great Expectations, TensorFlow Data Validation, WhyLabs, Arize) * Feature store concepts (BQ-based or managed) * Canary/shadow deployments, autoscaling, and performance ...

CitiusTech

Sr. AI Tool Engineer

Chicago, IL · On-site

$107K - $147K/yr

LangSmith, Promptfoo, LangFuse, Arize, Phoenix, AI observability and evaluation platforms Integration & Automation: REST APIs, Webhooks, Python, PowerShell, JSON, enterprise integrations Cloud ...

Stryker Corporation

Medical Billing Director

Medford, OR · On-site

$100 - $125/hr

This position will also play a critical role in the organization's active transition to the Cantata Arize electronic health record (EHR) platform, providing leadership and subject matter expertise to ...

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Arize information

What is an Arize?

Arize is not a standard job title, but most commonly refers to Arize AI, a company specializing in machine learning observability and model monitoring. Professionals working at Arize, such as machine learning engineers or data scientists, focus on developing and maintaining tools that help organizations monitor, troubleshoot, and improve their AI models in production. Their work involves analyzing model performance, detecting issues like data drift or bias, and ensuring reliable deployment of machine learning systems. If you are referring to a specific role within Arize AI, responsibilities may vary depending on the position, such as engineering, product management, or customer success. Clarifying the exact job title or context can help provide more tailored information.

What are the key skills and qualifications needed to thrive as an Arize professional?

To thrive in a role focused on Arize (typically related to machine learning observability), you need a solid background in data science, software engineering, and familiarity with machine learning concepts, often supported by a relevant degree. Experience with tools like Arize AI, cloud platforms (AWS, GCP, Azure), and machine learning frameworks is highly valuable, as are certifications in these areas. Strong analytical thinking, problem-solving skills, and effective communication help professionals interpret results and collaborate with cross-functional teams. These skills are crucial for ensuring the reliability, fairness, and performance of machine learning models in production environments.

What are some typical challenges faced by professionals working at Arize and how can they be overcome?

At Arize, team members often work in a fast-paced, innovative environment focused on machine learning observability. A common challenge is keeping up with rapidly evolving technologies and integrating new tools into existing workflows. Collaboration across cross-functional teams, such as data scientists, engineers, and product managers, is essential to ensure alignment on project goals. Proactively seeking feedback, participating in continuous learning initiatives, and leveraging internal resources can help new hires adapt quickly and succeed in their roles.

What is the difference between Arize vs Data Analyst?

AspectArizeData Analyst
Required CredentialsTypically requires knowledge of machine learning, data monitoring tools, and programming skillsUsually requires a bachelor's degree in data science, statistics, or related fields; some roles prefer certifications
Work EnvironmentPrimarily in tech companies, data-driven organizations, and AI-focused teamsIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by companies deploying AI/ML models to monitor performanceUsed across industries for data analysis, reporting, and decision-making support

While Arize focuses on monitoring and managing AI/ML models, Data Analysts primarily analyze data to generate insights. Both roles require strong analytical skills, but Arize emphasizes technical expertise in model performance, whereas Data Analysts focus on interpreting data for business decisions.

More about Arize jobs

What states have the most Arize jobs?

States with the most job openings for Arize jobs include:

What job categories do people searching Arize jobs look for?

The top searched job categories for Arize jobs are:

Arize jobs near you
Infographic showing various Arize job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Forward Deployed AI Engineer, East

Arize AI

Remote

$155K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

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 New York City metro area.

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.

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