Gen AI Engineer -
Mountain View, CA · On-site
... • Arize, TruLens (production monitoring) • DeepEval (CI/CD integration) • LangSmith (enterprise) • LLM-as-judge frameworks 3. GenAI Workflow Orchestration • Control flow and logging • ...
Gen AI Engineer -
Mountain View, CA · On-site
... • Arize, TruLens (production monitoring) • DeepEval (CI/CD integration) • LangSmith (enterprise) • LLM-as-judge frameworks 3. GenAI Workflow Orchestration • Control flow and logging • ...
... g., Arize), andoperationalizemonitoring requirementsas outline in theAI governancePolicy. The role focuses on closing cross-team execution gaps, ensuring traceability and audit readiness, and ...
... g., Arize), andoperationalizemonitoring requirementsas outline in theAI governancePolicy. The role focuses on closing cross-team execution gaps, ensuring traceability and audit readiness, and ...
Agentic AI Engineer
San Francisco, CA · On-site
$146K - $235K/yr
Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability * Analyze and develop data quality and validation procedures to ensure trusted data for AI ...
Agentic AI Engineer
San Francisco, CA · On-site
$146K - $235K/yr
Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability * Analyze and develop data quality and validation procedures to ensure trusted data for AI ...
Applied AI Engineer
Cupertino, CA · On-site
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) -- as a tool, not the focus • Screening Questions for Candidates • "Describe a production AI agent or skill ...
Applied AI Engineer
Cupertino, CA · On-site
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) -- as a tool, not the focus • Screening Questions for Candidates • "Describe a production AI agent or skill ...
GenAI Architect
Ewing, NJ · On-site
$190K - $220K/yr
MLflow, Weights & Biases, evaluation/observability frameworks (e.g., LangSmith, Arize) • Data engineering: ETL pipelines, embeddings generation, knowledge graph integration • API design and ...
GenAI Architect
Ewing, NJ · On-site
$190K - $220K/yr
MLflow, Weights & Biases, evaluation/observability frameworks (e.g., LangSmith, Arize) • Data engineering: ETL pipelines, embeddings generation, knowledge graph integration • API design and ...
... g., Arize), andoperationalizemonitoring requirementsas outline in theAI governancePolicy. The role focuses on closing cross-team execution gaps, ensuring traceability and audit readiness, and ...
... g., Arize), andoperationalizemonitoring requirementsas outline in theAI governancePolicy. The role focuses on closing cross-team execution gaps, ensuring traceability and audit readiness, and ...
On-prem Platform Engineer
Charlotte, NC · On-site
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for GenAI services. Collaborate with ML and research teams to onboard new models, tune ...
On-prem Platform Engineer
Charlotte, NC · On-site
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for GenAI services. Collaborate with ML and research teams to onboard new models, tune ...
AI Build Engineer Manager
Troy, MI · On-site
... Ragas, Arize Phoenix), monitoring, versioning, and drift analysis • Hands on exposure to model fine tuning techniques (LoRA / QLoRA) and domain specialization. • Familiarity with Enterprise ...
AI Build Engineer Manager
Troy, MI · On-site
... Ragas, Arize Phoenix), monitoring, versioning, and drift analysis • Hands on exposure to model fine tuning techniques (LoRA / QLoRA) and domain specialization. • Familiarity with Enterprise ...
Cloud Platform Engineer
Charlotte, NC · Hybrid
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. Implement platform engineering best practices, including Kubernetes ...
Cloud Platform Engineer
Charlotte, NC · Hybrid
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. Implement platform engineering best practices, including Kubernetes ...
AI Technical Sr Lead (IT)
Denver, CO · On-site +1
Standardize LLMOps and MLOps observability practices using tools like LangSmith and Arize platforms. * Coordinate complex data and ML workflows using Cloud Composer (Airflow). Model Development ...
AI Technical Sr Lead (IT)
Denver, CO · On-site +1
Standardize LLMOps and MLOps observability practices using tools like LangSmith and Arize platforms. * Coordinate complex data and ML workflows using Cloud Composer (Airflow). Model Development ...
Agentic AI Engineer
San Francisco, CA · On-site +1
$146K - $235K/yr
Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability * Analyze and develop data quality and validation procedures to ensure trusted data for AI ...
Agentic AI Engineer
San Francisco, CA · On-site +1
$146K - $235K/yr
Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability * Analyze and develop data quality and validation procedures to ensure trusted data for AI ...
Applied AI Senior Engineer
Sunnyvale, CA · On-site
$70K - $150K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Applied AI Senior Engineer
Sunnyvale, CA · On-site
$70K - $150K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for GenAI services. Collaborate with ML and research teams to onboard new models, tune ...
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for GenAI services. Collaborate with ML and research teams to onboard new models, tune ...
Cloud Platform Engineer
Charlotte, NC · On-site
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. Implement platform engineering best practices, including Kubernetes ...
Cloud Platform Engineer
Charlotte, NC · On-site
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. Implement platform engineering best practices, including Kubernetes ...
Hiring: Cloud Platform Engineer at Charlotte, NC
Charlotte, NC · On-site
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. * Implement platform engineering best practices, including ...
Quick apply
Hiring: Cloud Platform Engineer at Charlotte, NC
Charlotte, NC · On-site
$55.75 - $74/hr
Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms. * Implement platform engineering best practices, including ...
Applied AI Engineer
Sunnyvale, CA · On-site
Langfuse, Arize, Braintrust, W&B * Retrieval systems (vector search, hybrid search) - as a tool, not the focus Screening Questions for Candidates * "Describe a production AI agent or skill system you ...
Applied AI Engineer
Sunnyvale, CA · On-site
Langfuse, Arize, Braintrust, W&B * Retrieval systems (vector search, hybrid search) - as a tool, not the focus Screening Questions for Candidates * "Describe a production AI agent or skill system you ...
Applied AI Engineer
Sunnyvale, CA · On-site
$70K - $135K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Applied AI Engineer
Sunnyvale, CA · On-site
$70K - $135K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Applied AI Senior Engineer
Cupertino, CA · On-site
$95K - $155K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Applied AI Senior Engineer
Cupertino, CA · On-site
$95K - $155K/yr
Langfuse, Arize, Braintrust, W&B • Retrieval systems (vector search, hybrid search) as a tool, not the focus Screening Questions for Candidates 1. "Describe a production AI agent or skill system ...
Arize AX, LangSmith, or equivalent.
Arize AX, LangSmith, or equivalent.
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for Gen-AI services. * Collaborate with ML and research teams to onboard new models, tune ...
Quick apply
Implement observability and ML monitoring using Prometheus, Grafana, Arize AI, ensuring SLA/SLO compliance for Gen-AI services. * Collaborate with ML and research teams to onboard new models, tune ...
Arize information
What are the key skills and qualifications needed to thrive as an Arize professional, and why are they important?
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 is the difference between Arize vs Data Analyst?
| Aspect | Arize | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires knowledge of machine learning, data monitoring tools, and programming skills | Usually requires a bachelor's degree in data science, statistics, or related fields; some roles prefer certifications |
| Work Environment | Primarily in tech companies, data-driven organizations, and AI-focused teams | In various industries including finance, marketing, healthcare, often in office settings |
| Employer & Industry Usage | Used by companies deploying AI/ML models to monitor performance | Used 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.
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 an Arize job?
An Arize job typically refers to a position at Arize AI, a company specializing in machine learning observability and model performance monitoring. Employees at Arize work on ensuring AI models are explainable, bias-free, and functioning correctly in production environments. Roles at Arize can range from engineering and data science to customer success and sales, depending on the company's needs.
What is an Arize and what do they do?
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.
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:
Job description
Gen AI Engineer
Position: Contract
Location: Mountain View (hybrid) - Remote also fine.
Duration: 12+ months
Job description:
Core Responsibilities
1. Evaluation & Metrics (Primary Focus)
• Define and measure:
o Accuracy (primary metric)
o Precision, recall, confusion metrics
o Hallucination rate
o Faithfulness / grounding
• Build ground truth datasets
• Evaluate retrieval:
o Precision@k
o Recall@k
• Perform:
o Prompt A/B testing
o Bias reduction
2. Evaluation Tooling
• RAG / RAGAS
• Databricks / MLflow
• Arize, TruLens (production monitoring)
• DeepEval (CI/CD integration)
• LangSmith (enterprise)
• LLM-as-judge frameworks
3. GenAI Workflow Orchestration
• Control flow and logging
• Memory management
• Observability pipelines
• Document comparison workflows
4. Agentic AI Evaluation
• Measure:
o Tool correctness
o Agent success rate
• Use:
o LLM-as-judge for agent evaluation
5. Observability
• Monitor:
o Latency
o Token/cost usage
o Response quality
o Hallucination trends
o Retrieval accuracy
6. System Thinking
• Structured problem-solving
• Metric-driven decision making
• Clear articulation of tradeoffs:
o Precision vs recall
o Cost vs performance
Engineering Requirements
• Strong Python (data + evaluation focus)
• Strong analytical thinking (more important than complex coding)
Nice to Have
• Cost optimization awareness
• Platform tradeoff understanding
Key Hiring Insight
Most candidates fail because they:
• Lack depth in evaluation frameworks
• Cannot clearly explain metrics or evaluation methodology
Position: Contract
Location: Mountain View (hybrid) - Remote also fine.
Duration: 12+ months
Job description:
Core Responsibilities
1. Evaluation & Metrics (Primary Focus)
• Define and measure:
o Accuracy (primary metric)
o Precision, recall, confusion metrics
o Hallucination rate
o Faithfulness / grounding
• Build ground truth datasets
• Evaluate retrieval:
o Precision@k
o Recall@k
• Perform:
o Prompt A/B testing
o Bias reduction
2. Evaluation Tooling
• RAG / RAGAS
• Databricks / MLflow
• Arize, TruLens (production monitoring)
• DeepEval (CI/CD integration)
• LangSmith (enterprise)
• LLM-as-judge frameworks
3. GenAI Workflow Orchestration
• Control flow and logging
• Memory management
• Observability pipelines
• Document comparison workflows
4. Agentic AI Evaluation
• Measure:
o Tool correctness
o Agent success rate
• Use:
o LLM-as-judge for agent evaluation
5. Observability
• Monitor:
o Latency
o Token/cost usage
o Response quality
o Hallucination trends
o Retrieval accuracy
6. System Thinking
• Structured problem-solving
• Metric-driven decision making
• Clear articulation of tradeoffs:
o Precision vs recall
o Cost vs performance
Engineering Requirements
• Strong Python (data + evaluation focus)
• Strong analytical thinking (more important than complex coding)
Nice to Have
• Cost optimization awareness
• Platform tradeoff understanding
Key Hiring Insight
Most candidates fail because they:
• Lack depth in evaluation frameworks
• Cannot clearly explain metrics or evaluation methodology
About Lorven technologies
Sourced by ZipRecruiter
Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Plainsboro, NJ, US
Year founded
2001