Enterprise GenAI Architect charlotte nc onsite

Job Title: Enterprise GenAI Architect
Location: Onsite in Charlotte NC
Duration: 12 months
Work type: W2

Job Description/ Responsibilities:
AI-Driven Test Automation Transformation
Lead the adoption of GenAI-powered automation across the Software Testing Lifecycle (STLC) driving productivity quality and speed-to-market.
Accelerate UI API and end-to-end test automation through AI coding assistants and agentic development platforms such as GitHub Copilot Claude Code and similar technologies.
Design and implement intelligent agents for test case generation test design reviews automation script creation defect analysis self-healing automation and legacy script migrations.
Establish AI-assisted testing practices to improve test coverage reduce manual effort and enhance overall delivery efficiency.
Architecture & Solution Design
Contribute to the architecture design and implementation of enterprise-grade GenAI solutions and agentic frameworks.
Develop and optimize prompt engineering strategies retrieval workflows and model orchestration patterns to improve solution accuracy and reliability.
Collaborate in the design and deployment of scalable AI platforms that integrate seamlessly into SDLC and QA ecosystems.
Participate in cross-functional GenAI initiatives innovation programs and Proofs of Concept (PoCs) spanning the entire software development lifecycle.
Strategy & Roadmap
Define and execute the GenAI adoption roadmap for Quality Engineering aligned with client objectives business priorities and technology strategies.
Assess build-versus-buy options and provide recommendations on AI platforms tools models and vendor partnerships.
Drive AI governance responsible AI practices security considerations compliance standards and model lifecycle management frameworks.
Establish success metrics and value realization strategies to measure AI adoption and business impact.
Collaboration & Leadership
Partner with data scientists ML engineers architects product owners developers and business stakeholders to deliver AI-powered solutions.
Mentor engineering and QA teams on GenAI best practices agentic workflows prompt engineering model optimization deployment strategies and AI safety principles.
Foster a culture of innovation continuous learning and AI-first engineering across teams.
Act as a thought leader and trusted advisor for GenAI adoption within the organization and client engagements.
Innovation & Experimentation
Continuously evaluate emerging AI technologies and identify opportunities to transform QA operations and software delivery processes.
Develop prototypes and accelerators using modern AI frameworks such as LangChain LangGraph Semantic Kernel MCP AI Skills and multi-agent architectures.
Explore advanced use cases including autonomous testing agents conversational quality engineering assistants intelligent release validation and predictive quality analytics.
Drive experimentation and innovation initiatives that improve engineering effectiveness reduce costs and enhance software quality outcomes.
1620 years of experience in Quality Engineering (QE) Test Architecture and Test Automation with a proven track record of leading large-scale enterprise testing transformations and quality assurance programs.

What are the top skills required for this role
Hands-on expertise in Generative AI and Agentic AI including Prompt Engineering Retrieval-Augmented Generation (RAG) AI-powered test automation and leveraging AI for intelligent test design execution optimization root cause analysis and defect prediction.
Strong technical proficiency in Python Java Selenium Playwright API Automation and the design and implementation of scalable reusable and AI-enabled test automation frameworks.
Deep understanding of LLM ecosystems and AI platforms including Azure OpenAI AWS Bedrock LangChain LangGraph GitHub Copilot Anthropic Claude and related AI orchestration frameworks.
Proven ability to define and execute Quality Engineering strategies automation roadmaps governance models and best practices while leading globally distributed teams and delivering measurable improvements in productivity quality release velocity and cost efficiency.

Thanks & Regards
Lavanya Thaneeru Sr US IT Recruiter