AI Integration & Data Validation QA Analyst

ChiStats is an award-winning, AI-native engineering
company focused on building practical AI, data, and cloud-enabled solutions for
financial services and other mission-critical industries. We are actively
building our Wealth Management and Compliance technology portfolio, including
ComplianceAssist — an AI-enabled compliance product initially designed for AMCs
regulated by SEBI, with identified potential to extend to AIFs and PMS firms.

We are looking for - AI Integration & Data
Validation QA Analyst with 2-3 years of experience who will will focus on
validating the integration between our agentic AI quoting platform and
SubmissionLink. AI agents consume Small Business Owner information provided
through SubmissionLink and backed by structured data models to create insurance
applications.

The candidate must have strong communication skills and be
capable of working directly with US-based Product, Data Intelligence,
Engineering, and business stakeholders.

Primary Responsibilities

• Validate
  SubmissionLink data against expected Small Business Owner information
  
• Verify
  that AI agents correctly consume and apply SubmissionLink data when
  creating insurance applications
  
• Validate
  data mapping and transformation across source systems, APIs, AI agents,
  and the UI
  
• Test
  agentic workflows while accounting for acceptable variations in
  AI-generated outcomes
  
• Identify
  missing, incorrect, inconsistent, unsupported, or fabricated information
  
• Validate
  AI outputs against defined business rules, data models, and expected
  outcome ranges
  
• Determine
  whether issues originate in source data, the data model, integration
  layer, AI-agent behaviour, or front end
  
• Develop
  integration and regression tests covering common, negative, and edge-case
  business scenarios
  
• Validate
  fallback behaviour, exception handling, and human-review requirements
  
• Work
  directly with US-based Product, Data Intelligence, Engineering, and
  business teams
  
• Clearly
  communicate defects, evidence, quality risks, and test findings to
  stakeholders
  

Requirements

Required Experience and Skills

• 2–3
  years of QA experience, with a strong focus on API, integration, or data
  testing
  
• Strong
  experience validating complex data models across multiple systems
  
• Ability
  to trace data from the source through APIs, AI workflows, and the user
  interface
  
• Experience
  testing non-deterministic, probabilistic, or rules-driven outcomes
  
• Strong
  API testing experience using tools such as Postman
  
• Working
  knowledge of JSON, structured data, and API payload validation
  
• Ability
  to create detailed test cases focused on data integrity, mapping, and
  transformation
  
• Strong
  functional and regression testing experience
  
• Strong
  analytical, investigative, and defect-isolation skills
  
• Strong
  verbal and written communication skills
  
• Ability
  to work directly and independently with US-based stakeholders
  
• Ability
  to explain AI behavior, data-integrity issues, and non-deterministic
  outcomes to technical and non-technical stakeholders
  

​

Preferred Experience

• Insurance
  domain experience, preferably in commercial insurance, quoting,
  underwriting, or insurance application workflows
  
• Experience
  testing AI, LLM, or agentic AI applications
  
• Familiarity
  with Model Context Protocol (MCP)
  
• Experience
  validating structured data consumed or generated by AI systems
  
• Understanding
  of AI evaluation methods, acceptable outcome ranges, and validation
  thresholds
  
• SQL
  or similar data-querying skills