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Ai Test Engineer Jobs in Riverside, CA (NOW HIRING)

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Ai Test Engineer information

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How much do ai test engineer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for ai test engineer in Riverside, CA is $46.16, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $54.66 per hour, depending on experience, location, and employer.

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

What are AI Test Engineers?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are some common challenges AI Test Engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What are the key skills and qualifications needed to thrive as an AI Test Engineer, and why are they important?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.
What are popular job titles related to Ai Test Engineer jobs in Riverside, CA? For Ai Test Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Ai Test Engineer jobs in Riverside, CA look for? The top searched job categories for Ai Test Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Ai Test Engineer jobs? Cities near Riverside, CA with the most Ai Test Engineer job openings:
SAP S/4HANA Test Analyst /Engineer (Greenfield)

SAP S/4HANA Test Analyst /Engineer (Greenfield)

Platinum Enterprise Solutions

Irvine, CA โ€ข On-site

Other

Posted 4 days ago


Job description

SAP S/4HANA Test Analyst / Test Engineer

Job Location : Irvine, California, 92618

On-site

Contract

Position Overview

We are seeking an experienced SAP S/4HANA Test Analyst / Test Engineer to join the

Testing Workstream of our critical greenfield SAP S/4HANA implementation. This is a high-

impact role focused on designing, developing, and maintaining comprehensive test scenarios

that ensure the quality, integrity, and business readiness of the new S/4HANA solution.

You will work closely with the Solution Delivery team, Business Analysts, Functional

Consultants, Subject Matter Experts (SMEs), Business Process Owners (BPOs), and

Training/OCM teams to translate approved Business Process Design Documents (BPDDs),

SAPARC outputs, and Fit-to-Standard analysis into detailed, traceable test scenarios. This role

is central to our SAP Activate-aligned testing strategy, supporting multiple cycles of System

Integration Testing (SIT), User Acceptance Testing (UAT), Mock Go-Live rehearsals, and

Hypercare.

The ideal candidate thrives in a fast-paced, collaborative environment and has strong expertise

in creating end-to-end test cases for complex SAP implementations, particularly with integration

points (including Shopify DTC interfaces).

Key Responsibilities

  • Master and Detailed Test Scenario Creation:

Extract and analyze requirements from Jira (via Rovo AI), BPDDs, Business

Design Documents, and SAPARC.

Develop comprehensive master scenarios and detailed test scripts, including

preconditions, test data requirements, expected results, integration touchpoints,

and Segregation of Duties (SoD) considerations.

Leverage AI tools (e.g., Claude) to accelerate scenario generation while ensuring

accuracy and completeness.

  • Collaboration & Reviews:

Partner with Business Analysts, Solution Architects, and Functional Consultants

during solution walkthroughs.

Coordinate and facilitate SME/BPO review sessions to validate that scenarios

align with business intent.

Work with Training and OCM teams to ensure test scenarios support knowledge

transfer and user familiarization (using tools like Tango for session recording).

  • Test Data & Environment Management:

Define and coordinate test data requirements and preparation activities.

Ensure test data supports complex scenarios including integrations, edge cases,

and high-volume DTC processes.

  • Test Execution Support:

Load and manage test cases in Panaya and maintain bi-directional

synchronization with Jira.

Support execution of SIT cycles (3 planned), UAT cycles (2 planned),

performance testing, and Mock Go-Live dress rehearsals.

Participate in defect triage, root cause analysis, and retesting.

  • Traceability & Quality:

Maintain full traceability from requirements to test cases and defects.

Contribute to test progress reporting, dashboards, and Go/No-Go readiness

assessments.

  • Continuous Improvement:

Identify opportunities to enhance testing efficiency using AI-assisted tools and

risk-based testing approaches.

Support Hypercare regression testing post go-live.

Required Qualifications & Experience

  • 5+ years of experience as a Test Analyst / Test Engineer in SAP implementations, with

at least 2 3 years specifically on SAP S/4HANA (greenfield preferred).

  • Strong understanding of SAP Activate methodology and its testing phases (Discover,

Explore, Realize, Deploy, Run).

  • Proven expertise in creating detailed end-to-end test scenarios across core SAP

modules (OTC, PTP, RTR, etc.) and cross-module integrations.

  • Experience with Shopify DTC integrations or similar e-commerce platforms is highly

desirable.

  • Hands-on experience with testing tools:

Jira (including Rovo or similar AI extensions)

Panaya (or equivalent test management tools like ALM, Azure DevOps)

Test automation exposure is a plus

  • Familiarity with AI-assisted testing tools (Claude, Copilot, etc.) and session recording

tools (Tango or similar).

  • Solid knowledge of integration testing (EDI, APIs, middleware, webhooks).

Key Skills & Competencies

  • Excellent analytical and documentation skills with strong attention to detail.
  • Ability to translate complex functional and technical requirements into clear, executable

test cases.

  • Strong collaboration and communication skills able to work effectively with technical

teams, business SMEs, and leadership.

  • Experience in risk-based testing, defect management, and traceability matrix

maintenance.

  • Self-motivated with the ability to work independently while contributing to a larger testing

team.

Education

  • Bachelor s degree in Information Technology, Computer Science, Business, or related

field (or equivalent experience).