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Enterprise GenAI Architect

Incipient Corp.

Hybrid in Charlotte, North Carolina • Today

Easy Apply

Contract, Third Party

60 - 70

GenAI Architect

SysMind, LLC

Charlotte, North Carolina • 5d ago

Easy Apply

Third Party, Contract

$62 - $66

GenAI Architect - Azure, AI and ML - Charottle, NC or Atlanta, GA (Hybrid) -62641-1

Compest Solutions Inc

Hybrid in Charlotte, North Carolina • 3d ago

Easy Apply

Contract

$60 - $65

Java AI Lead / Enterprise Architect

ServIT Consulting LLC

Hybrid in Charlotte, North Carolina • Today

Easy Apply

Contract

60 - 90

Enterprise AI Architect

Marici Solutions

Remote • 6d ago

Easy Apply

Full-time

Depends on Experience

Technical Architect(Java Enterprise Ecosystem.Artificial Intelligence)

eSystems, Inc.

Remote • 5d ago

Easy Apply

Full-time

Depends on Experience

GenAI Solution Architect / Lead GenAI Architect

GLOBAL IT CON LLC

Remote • Today

Easy Apply

Contract, Third Party

Depends on Experience

GenAI Solutions Architect

Luxoft

Remote • Today

Full-time

Technical Architect - ML - GenAI

Quantiphi Inc.

Remote • Today

Full-time

Principal Enterprise Architect

SDH Systems

Remote • Today

Easy Apply

Contract

Depends on Experience

Enterprise AI Architect

Lorven Technologies, Inc.

Remote • 4d ago

Easy Apply

Full-time, Third Party

$200000 - $250000

Enterprise AI Architect

Tanisha Systems, Inc.

Remote • 5d ago

Easy Apply

Full-time

$220000 - $250000

AI Enterprise Architect

Gong.io

Remote • Today

Full-time

USD 174,000.00 - 250,000.00 per year

Principal Enterprise Security Architect

Ziply Fiber

Remote • 12d ago

Easy Apply

Full-time

155,000 - 230,000

Technical Architect - Enterprise Data

Arastra, Inc.

Remote or Dallas, Texas • Today

Full-time

Machine Learning Engineer / AI Engineer

NTT DATA Americas, Inc

Hybrid in Charlotte, North Carolina • 14d ago

Easy Apply

Contract

$75 - $84

Principal AI Transformation Architect

Innorev Technologies, Inc

Remote • Today

Easy Apply

Contract

Depends on Experience

Job Title: Senior Full Stack Developer – GenAI / Node.js / TypeScript / Python / Golang / Camunda

Radiantze

Remote • Today

Easy Apply

Contract

Depends on Experience

AI Engineer

NewVision Software & Consultancy Pvt. Ltd

Remote • 18d ago

Easy Apply

Contract

Depends on Experience

Hiring! AI Architect Generative AI & Agentic AI from Healthcare Domain Only

PropelSys Technologies LLC.

Remote or Texas • Today

Easy Apply

Full-time, Third Party, Contract

GenAI Developer

TekShapers

Remote • 4d ago

Easy Apply

Contract, Third Party

Depends on Experience

AI Forward Deployed Engineer (FDE)

W3Global

Remote or New Jersey • Today

Contract

USD60.0/HOURLY - USD75.0/HOURLY

AI / ML Engineer

INSPYR Solutions

Remote • 4d ago

Easy Apply

Contract

$70 - $80

Gen AI Architect

Mind Ware Inc

Remote • 2d ago

Easy Apply

Contract

Depends on Experience

AI Architect

Bitwise

Remote • 3d ago

Easy Apply

Full-time

Depends on Experience

Architect, Enterprise AI

Navitus Health Solutions

Remote • Today

Full-time

USD 124,140.15 - 170,000.00 per year

Enterprise Architect, AWS Practice

NeuraFlash, Part of Accenture

Remote • Today

Full-time

Gen AI Lead/Architect

Infodyne Solutions

Hybrid in Charlotte, North Carolina • 2d ago

Easy Apply

Contract

Depends on Experience

Agentic AI Architect

Excelra Inc.

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

Google Agentic AI Architect

EPAM Systems

Remote or New York, New York • Today

Full-time

Job Details

Skills

GenAI
SOFTWARE TESTING

Summary

Position: Enterprise GenAI Architect

Location: Charlotte, NC

Duration: 12 Months

Note-

“Prioritize a senior Enterprise GenAI Architect with a strong foundation in QE/Test Automation and demonstrable hands-on experience building Agentic AI-driven testing platforms—not a general GenAI/ML Engineer or AI Strategist

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.
16–20 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.

Required:

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.

Years of Experience: 15 Years of Experience

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91119062
Position Id: 9131429
Posted 3 hours ago

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Contact the job poster

Sushanta Mallick

Recruiter @ Incipient Corp.

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Job Details

Skills

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SOFTWARE TESTING

Summary

Position: Enterprise GenAI Architect

Location: Charlotte, NC

Duration: 12 Months

Note-

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.
16–20 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.

Required:

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.

Years of Experience: 15 Years of Experience