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