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AI QE Architect and Governance Leader
2 weeks ago
Our client seeks an AI QE Architect for a Full time project in West Palm Beach, FL . Below is the detailed requirement
Job Title: AI QE Architect
Work location : West Palm Beach, FL
Duration: Full Time
Job Description:
- Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
- 10-14 years as a Technology Architect, SDET, or QE Leader 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.
- 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).
- Expertise in designing, developing, validating, and deploying Generative AI solutions.
- Experience building AI agents, multi-agent workflows, or autonomous decision systems.
- LLM drift detection
- Prompt quality standards
- Agent monitoring & observability
- Data lineage & model versioning
- Strong experience building test automation frameworks using Python, PyTest, Selenium, Playwright, and Requests.
- Ability to create automated tests covering:
- API
- Integration
- Performance
- Security
- AI/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.
- Establish AI/ML quality standards, testing guidelines, and risk controls.
- Data security & privacy
- Model evaluation KPIs (accuracy, bias, toxicity, hallucination rates)
- Regulatory alignment for Energy/Utility operations
- Continuous monitoring & drift alerts
- Experience working with IRB, compliance, or audit teams.
- Knowledge of deploying AI and automation solutions on AWS.
- Experience implementing CI/CD pipelines for ML and LLM models:
- Model versioning & lifecycle
- Retraining workflows
- Automated evaluation gates
- Infrastructure-as-code (IAC) familiarity
- Experience implementing observability frameworks for AI/ML systems.
- 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.
