AI QE Architect: GenAI-Powered Testing Platforms

Apexon; Bethesda (MD); On-site; USD 150,000 - 190,000; Full time

Job summary

Apexon is seeking an AI QE Architect to lead design and development of next‑gen AI-powered quality engineering platforms. You will steer strategy, design scalable QE automation frameworks, and guide teams in deploying AI agents, RAG pipelines, and MCP-enabled intelligent workflows.

The role requires deep expertise in automation engineering, LLMs, and enterprise AI tooling, with hands-on work in LangChain, PyTorch, CI/CD for ML, and cloud AI services.

Qualifications

• Hands-on experience with LLMs, prompt engineering, RAG, vector DBs, and model evaluation.
• Proficiency with LangChain, HuggingFace, Transformers, OpenAI/Ollama API.
• Experience with agentic AI frameworks like LangGraph, AutoGen, CrewAI.
• Build and enhance GenAI-powered QE solutions, AI agents, and autonomous workflows.
• Strong coding skills in Python, TypeScript, or Java.
• Architect and maintain automation frameworks for UI: Playwright, Selenium.
• Experience with PyTest, Requests, RestAssured.
• Performance: JMeter, Locust.
• Develop prompt-optimized AI-generated test assets and validation mechanisms.
• Experience with PyTorch, TensorFlow, Scikit-Learn, NLP/CV libraries (NLTK, BART, OpenCV).
• Build data/embedding pipelines and optimize retrieval for RAG.
• Implement CI/CD for ML models, including versioning, evaluation, and retraining workflows.
• Strong understanding of AWS/Azure/GCP architectures and AI/ML services.

Responsibilities

• Lead design, development, and optimization of AI-powered QE platforms.
• Define strategy, design scalable frameworks, and guide teams in QE automation and AI agents.
• Drive innovation across RAG pipelines and MCP-enabled intelligent workflows.
• Lead defect triage, quality reviews, and ensure QE/AI governance.
• Collaborate with developers, SMEs, and product teams to align on architecture and roadmap.

Skills

LLMs

Prompt engineering

RAG

Vector databases

Model evaluation

LangChain

HuggingFace

Transformers

OpenAI/Ollama API

LangGraph

AutoGen

CrewAI

Python

TypeScript

Java

Playwright

Selenium

PyTest

Requests

RestAssured

JMeter

Locust

PyTorch

TensorFlow

Scikit-Learn

NLP/CV libraries

NLTK

OpenCV

Data/embedding pipelines

CI/CD for ML models

AWS

Azure

GCP

Tools

LangChain

Job description

Apexon is seeking an AI QE Architect to lead design and development of next‑gen AI-powered quality engineering platforms. You will steer strategy, design scalable QE automation frameworks, and guide teams in deploying AI agents, RAG pipelines, and MCP-enabled intelligent workflows.

The role requires deep expertise in automation engineering, LLMs, and enterprise AI tooling, with hands-on work in LangChain, PyTorch, CI/CD for ML, and cloud AI services.