Lead Full Stack Engineer- AI Tester

Description - External We are a global organization that delivers care, aided by technology to help millions of people live healthier lives The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities Come make an impact on the communities we serve as you help us advance health optimization on a global scale Join us to start Caring Connecting Growing together Primary Responsibilities: QE Automation Foundations Strong QE fundamentals: test strategy, test planning, defect lifecycle Functional, integration, regression testing API testing (REST, JSON, Postman) Test automation using Python / JavaScript CI/CD awareness (Git, pipelines, build verification) Log analysis debugging (CloudWatch / centralized logging) Conversational AI Testing Intent, utterance, slot/entity testing (Amazon Lex or similar) Multi turn conversation validation Context session management testing Interruptions, re phrasing, intent switching Fallback, disambiguation, error handling scenarios Voice vs Chat behavior differences (ASR errors, latency, barge in) Bot Agent handoff validation Agentic AI Testing Clear understanding of agentic behavior (plan reason act observe) Testing non deterministic responses Multi step workflow validation Tool / API invocation correctness by agents Agent memory state validation across turns Boundary based validation (acceptable vs unacceptable outcomes) Guardrail enforcement testing (what agent must NOT do) LLM Prompt Quality Engineering Prompt structure understanding (system vs dynamic prompts) Prompt regression testing Prompt versioning rollback validation Hallucination detection containment Response tone, empathy, policy compliance validation Safety, toxicity, and unsafe response testing Production Readiness Observability AI production defect RCA Monitoring AI KPIs: o Containment rate Escalation rate Conversation success/failure Hallucination incidents Latency, retries, throttling, timeout scenarios Release readiness sign off for AI systems Security, Privacy Compliance PII / PHI masking validation Data boundary validation (what is sent to LLM vs retained) Prompt leakage risk testing Secure handling of logs and conversation transcripts Compliance aware test scenarios (healthcare grade rigor) Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment) The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Qualifications - External Required Qualifications: Fulltime Graduation degree Skills: Advanced AI Evaluation LLM as Judge concepts Human in the loop evaluation Golden dataset creation Automated quality scoring frameworks Advanced Automation Scale Conversation simulation frameworks Synthetic utterance / conversation generation Data driven AI test automation AI assisted test case generation Platform Architecture Awareness Experience with Agent Orchestrators Multi agent coordination testing RAG pipeline understanding Integration testing across IVR, CRM, backend systems Quality Leadership Collaboration Risk based testing mindset Ability to challenge product assumptions Strong collaboration with Product, AI Engineers, Ops Executive ready quality metrics reporting Comfort with ambiguity and evolving AI behavior Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.