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Arize Jobs (NOW HIRING)

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.

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.

AI Solutions Manager, East

New York, NY ยท On-site +1

$140K - $175K/yr

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.

AI Sales Engineer, US

$140K - $210K/yr

You'll work side-by-side with our Account Executives to articulate the Arize value and overall strategy to differentiate the platform throughout the sales process and drive POCs from requirements ...

AI Solutions Manager, West

San Francisco, CA ยท On-site +1

$140K - $175K/yr

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.

Senior AI Product Manager, Observability

OR ยท On-site +1

$200K - $250K/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 ...

$125 - $150/hr

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 ...

Arize Phoenix is a platform used by AI teams and AI agents such as Claude Code. You won't just craft great UX. You'll pioneer great AX (Agent Experience)-product surfaces that are delightful for ...

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 ...

The Opportunity: We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and ...

The Opportunity: We're looking for a driven Enterprise Expansion Account Executive to own and grow revenue within Arize's existing customer base. You'll work with AI engineers, Data Scientists, and ...

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.

Showing results 21-40

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:

Infographic showing various Arize job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 57% Physical, 8% Hybrid, and 35% Remote job distribution.

SRE AWS DevOps with Arize

Malvern, PA โ€ข On-site

$155K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Must Have Technical/Functional Skills
For an SRE / AWS DevOps Engineer with Arize Observability, the candidate should have knowledge on AWS Cloud, DevOps, Reliability Engineering, Monitoring, MLOps, and AI Observability.
โ€ข AWS Cloud Services EC2, EKS, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC.
โ€ข Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Ansible.
โ€ข CI/CD Automation Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline.
โ€ข Containerization & Orchestration Docker, Kubernetes (EKS), Helm.
โ€ข Site Reliability Engineering (SRE) SLI/SLO/SLA management, incident response, root cause analysis (RCA), reliability engineering.
โ€ข Monitoring & Observability Arize AI, Prometheus, Grafana, Datadog, ELK Stack, OpenTelemetry, CloudWatch.
โ€ข MLOps & AI Observability Arize platform, model monitoring, drift detection, model performance tracking, data quality monitoring, LLM observability.
โ€ข Programming & Scripting Python, Bash, PowerShell, SQL.
โ€ข Security & DevSecOps IAM, Secrets Manager, AWS Security Hub, vulnerability scanning, policy enforcement.
โ€ข Collaboration & Agile Delivery Scrum, Jira, stakeholder communication, cross-functional incident management, technical documentation.
Roles & Responsibilities
SRE Lead with 8+ years of experience in building and managing scalable, secure, and highly available AWS cloud platforms leveraging DevOps, Kubernetes, and Infrastructure-as-Code practices.
โ€ข Experienced in implementing CI/CD pipelines, driving SRE best practices, and ensuring platform reliability through proactive monitoring, incident management, and performance optimization using CloudWatch, Prometheus, Grafana, and Arize.
โ€ข Strong collaborator with engineering, data, and ML teams, enabling MLOps, AI model observability, drift detection, and reliable deployment of production-grade AI/GenAI solutions.
Generic Managerial Skills, If any
โ€ข Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
โ€ข Effective communication with business and technical stakeholders.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $155,000 - $170,000 a year