Senior Quality Assurance Specialist - West Palm Beach
7 hours ago
Job description
AI QE ArchitectCore Experience & Qualifications
6-10 years as a SDET, or Sr QE with strong coding skills in Python, TypeScript, or Java.
Proven experience designing automation frameworks or developer tools for large engineering organizations.
Hands-on expertise with Large Language Models (LLMs), prompt engineering, and safety evaluation techniques.
Exposure to Agentic AI systems and orchestration tools such as LangGraph, AutoGen, CrewAI, or similar agent frameworks.
Experience implementing Model Context Protocol (MCP) for real-time automation, autonomous workflows, or CI/CD integrations.
Experience working in highly regulated industries—Energy, Utilities, Nuclear, Healthcare, BFSI, or similar.
AI / ML Technologies
Practical experience with frameworks and ecosystems:
LangChain, Hugging Face, GPT models, vector databases
Working knowledge of ML/DL libraries:
Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART
Understanding of RAG architectures, embeddings, and semantic search (bonus).
GenAI & AI Agent Development
Expertise in designing, developing, validating, and deploying Generative AI solutions.
Experience building AI agents, multi-agent workflows, or autonomous decision systems.
Ability to define governance for:
oLLM drift detection
oPrompt quality standards
oAgent monitoring & observability
oData lineage & model versioning
Automation & Quality Engineering
Strong experience building test automation frameworks using Python, PyTest, Selenium, Playwright, and Requests.
Ability to create automated tests covering:
oFunctional
oAPI
oIntegration
oPerformance
oSecurity
oAI/ML validation (LLM testing, model accuracy, hallucination detection)
Proficiency in API testing and validation of RESTful services.
Plus:
Experience with performance/load testing tools K6 or JMeter.
AI Governance & Compliance
Establish AI/ML quality standards, testing guidelines, and risk controls.
Define governance around:
oData security & privacy
oModel evaluation KPIs (accuracy, bias, toxicity, hallucination rates)
oRegulatory alignment for Energy/Utility operations
oContinuous monitoring & drift alerts
Experience working with IRB, compliance, or audit teams.
Cloud, DevOps & CI/CD
Knowledge of deploying AI and automation solutions on AWS.
Experience implementing CI/CD pipelines for ML and LLM models:
oModel versioning & lifecycle
oRetraining workflows
oAutomated evaluation gates
oInfrastructure-as-code (IAC) familiarity
Experience implementing observability frameworks for AI/ML systems.
SDLC & Collaboration
Strong understanding of end-to-end SDLC and QE methodologies.
Work closely with developers, product managers, data scientists, and business stakeholders.
Ability to provide clear communication around test strategy, risks, coverage, and governance readiness.
Skilled in defect triage, risk-based testing, and quality strategy leadership
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