AI Quality Engineering Lead - Hybrid NYC (Locals)

AI Quality Engineering Lead - Hybrid NYC (Locals)
Candidate must be local and able to interview in person!

Required Skills & Experience
Experience in Test Consulting, Quality Engineering, and Test Automation.
Experience in AI/ML Solution Architecture design to create scalable, enterprise-grade AI systems by selecting optimal models (e.g., LLMs and traditional Machine Learning models), defining data pipelines, and ensuring seamless integration with existing cloud infrastructure and governance frameworks.
Experience in Python, FastAPI framework
Experience in Agentic AI engineering workflow orchestration using LangGraph, LangChain, Large Language Models (LLMs), and AI orchestration frameworks.
Experience in building reusable reference implementations, libraries, accelerators, frameworks, and playbooks for AI/ML-augmented engineering and software delivery.
Experience in Prompt Engineering, Solution Architecture and Design, Retrieval-Augmented Generation (RAG), and Multi-Agent Systems.
Experience with Microservices, API-First Design, and Event-Driven Architecture.
Experience with Docker, Kubernetes, DevOps practices, and CI/CD pipelines.
Experience in Software Architecture, Engineering Transformation, and AI-driven Engineering Solutions.
Strong understanding of Software Development Lifecycle (SDLC), Quality Engineering, and AI-enabled software delivery practices.
Experience establishing AI governance, Responsible AI practices, Human-in-the-Loop controls, security standards, and engineering best practices.
Strong technical leadership, stakeholder management, consulting, and communication skills.