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Apexon
AI QE Architect
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Job Description
AI QE Architect at Apexon AI QE Architect at Apexon in silver spring, Maryland Posted in 11 days ago.
Type:
full-time AI QE Architect _ Bethesda, MD The AI QE Architect will lead the design, development, and optimization of next-generation AI-powered quality engineering solutions, including platforms. This role combines deep technical expertise in automation engineering with hands-on experience in LLMs, agentic AI frameworks, and enterprise-grade AI tooling. The architect will define strategy, design scalable frameworks, guide teams, and drive innovation across QE automation, AI agents, RAG pipelines, and MCP-enabled intelligent workflows . Key Skills & Responsibiliti esAI, LLMs & Agentic Syste msStrong hands-on experience with LLMs, prompt engineering, RAG, vector DBs, and model evaluatio n.
Proficiency with LangChain, HuggingFace, Transformers, OpenAI/Ollama API s.
Experience to agentic AI frameworks like LangGraph, AutoGen, CrewA I.Build and enhance GenAI-powered QE solutions, AI agents, and autonomous workflow s.
Implement MCP-driven, context-aware automation and CI/CD decision intelligenc e. Automation Engineer ingStrong coding skills in Python, TypeScript, or Ja va.
Architect and maintain automation frameworks f or:o
UI:
Playwright, Selen iumo
API:
PyTest, Requests, RestAssu redo
Performance:
JMeter, Loc ustDevelop prompt-optimized, AI-generated test assets and validation mechanis ms. ML/AI Engineering & Data Pipel inesExperience with PyTorch, TensorFlow, Scikit-Learn, NLP/CV libraries (NLTK, BART, Open CV).Build data/embedding pipelines and optimize retrieval for RAG.Implement CI/CD for ML models, including versioning, evaluation, and retraining workfl ows. Cloud, DevOps & Integr ationStrong understanding of AWS/Azure/GCP architectures and AI/ML serv ices.
Integrate automation pipelines using GitHub Actions, Azure DevOps, Jen kins.
Ensure scalable, secure, and governed AI/automation environm ents. Leadership & Delivery Exce llenceProvide technical leadership and mentor teams on AI adoption and automation best prac tices.
Collaborate closely with developers, SMEs, and product teams to align on architecture and ro admap.
Drive feature prioritization, quality strategy, and solution d esign.
Lead defect triage, quality reviews, and compliance with QE/AI gover nance.
Work across the full SDLC, contributing to test strategy, design, execution, and ana lysis.
Operate effectively in an Agile/Scrum enviro nment.