Apexon
AI Quality Engineering (QE) Architect (West Palm Beach)
Apexon, West Palm Beach, Florida, United States, 33412
We have 3 open positions as stated below:
Job Role: AI QE Architect and Governance Leader
Job Role: Senior AI QE Engineer
Job role : AI QE Engineer
Location : West Palm Beach, Florida (Onsite)
Apply only USC/Green card's
Job description: We are seeking an experienced
AI Quality Engineering (QE) Architect & Governance Leader
to drive end-to-end quality, automation, and governance for AI, ML, and GenAI solutions across mission-critical and highly regulated environments. This role combines deep expertise in automation, AI/ML technologies, and agentic workflows with strong leadership in governance, risk, and complianceespecially for Energy/Utilities/Nuclear domains. You will architect future-state AI QE frameworks, establish testing standards for LLMs and agents, automate validation pipelines, enforce model governance, and lead enterprise-wide assurance initiatives. Core Experience & Qualifications 1014 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 industriesEnergy, 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: LLM drift detection Prompt quality standards Agent monitoring & observability Data 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:
Apply only USC/Green card's
Job description: We are seeking an experienced
AI Quality Engineering (QE) Architect & Governance Leader
to drive end-to-end quality, automation, and governance for AI, ML, and GenAI solutions across mission-critical and highly regulated environments. This role combines deep expertise in automation, AI/ML technologies, and agentic workflows with strong leadership in governance, risk, and complianceespecially for Energy/Utilities/Nuclear domains. You will architect future-state AI QE frameworks, establish testing standards for LLMs and agents, automate validation pipelines, enforce model governance, and lead enterprise-wide assurance initiatives. Core Experience & Qualifications 1014 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 industriesEnergy, 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: LLM drift detection Prompt quality standards Agent monitoring & observability Data 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: