Role– AI System Quality Assurance Engineer –
Data & Agentic AI
Experience: 1–3 years
Positions: 2
Role Summary - This role will focus on
validating data movement, mapping, transformation, and integrity across
migration testing and 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 role will verify what data is being used, how it moves
through the system, and whether it is correctly validated at each
stage, from source payloads and migration outputs through APIs, AI agents,
business rules, guardrails, and the user interface. It requires robust API,
integration, and data-validation skills, along with practical exposure to
agentic testing and validation of AI-generated outputs.
The candidate must have solid communication skills
and be capable of working directly with US-based Product, Data Intelligence,
Engineering, and business stakeholders.
Key Responsibilities -
Understand
what data is being used and map how it moves through each stage of the
system pipeline
Perform
data validation during migration testing, including source-to-target
comparison, completeness checks, accuracy checks, and transformation
validation
Validate SubmissionLink data
against expected Small Business Owner information and downstream
insurance-application outputs
Verify
that AI agents correctly consume, interpret, and
apply SubmissionLink data when creating insurance
applications
Validate
data mapping and transformation across source systems, APIs, AI agents,
business rules, guardrails, and the UI
Build
or execute validation scripts to check data integrity, completeness,
schema conformance, and transformation accuracy across the pipeline
Test
agentic workflows and validate AI-agent decisions, tool usage,
fallback behavior, exception handling, and human-review
handoffs
Define
and execute valida
📌 Ai System Quality Assurance Engineer – Data Pune
🏢 Chistats
📍 Pune