AI Architect
•Today
| Hours | Full-time, Part-time |
|---|---|
| Location | Atlanta, GA Atlanta, Georgia open_in_new |
About this job
Job Description
Job Description
Required Qualifications
" 12 years of technology experience, including 5 years in AI/ML, Generative AI, or intelligent automation.
" Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation.
" Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment.
" Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms.
" Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes.
" Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices.
" Strong customer-facing communication, architecture presentation, and cross-functional leadership skills.
Preferred Qualifications
" Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
" Experience in Retail, Supply Chain, Logistics, Distribution, or a related business domain.
" Relevant AI, cloud, architecture, software engineering, or Quality Engineering certifications.
Pay Rate: $50 - $55
Location: Atlanta, GA / Onsite
Duration: 6 months
Experience Required: 12 Years
Position Overview
We are seeking an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. The candidate will define the target architecture for AI agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise AI adEligible to workion across the software development lifecycle. This is a customer-facing onsite role requiring strong AI architecture, engineering, governance, and stakeholder-management capabilities.
Key Responsibilities
Location: Atlanta, GA / Onsite
Duration: 6 months
Experience Required: 12 Years
Position Overview
We are seeking an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. The candidate will define the target architecture for AI agents, multi-agent orchestration, Retrieval-Augmented Generation (RAG), and enterprise AI adEligible to workion across the software development lifecycle. This is a customer-facing onsite role requiring strong AI architecture, engineering, governance, and stakeholder-management capabilities.
Key Responsibilities
- AI Architecture Leadership: Define the enterprise architecture, reference patterns, and technology roadmap for AI-powered Quality Engineering solutions.
- Agentic AI and RAG: Design reusable AI-agent patterns and a RAG Knowledge Fabric integrating Jira, Confluence, Git repositories, CI/CD platforms, test assets, ServiceNow, and approved enterprise data sources.
- Orchestration and Integration: Design multi-agent orchestration and integration services supporting requirements review, code quality, test preparation, test execution, QE intelligence, and release assurance.
- Governance and Responsible AI: Establish Human-in-the-Loop controls, security guardrails, explainability, confidence scoring, model evaluation, observability, auditability, and cost controls.
- Stakeholder and Technical Leadership: Lead architecture reviews, prioritize high-value use cases, guide onsite and offshore teams, and communicate solution decisions to business and engineering leadership.
- Scale and AdEligible to workion: Define the maturity path from supervised to semi-autonomous and autonomous agents while ensuring scalability, reliability, performance, and adEligible to workion.
Required Qualifications
" 12 years of technology experience, including 5 years in AI/ML, Generative AI, or intelligent automation.
" Strong experience with LLM applications, Agentic AI, multi-agent systems, RAG, embeddings, vector search, prompt engineering, and AI evaluation.
" Experience with enterprise AI architecture, microservices, APIs, event-driven architecture, containers, and cloud-native deployment.
" Hands-on knowledge of Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms.
" Proficiency in Python and working knowledge of Java and/or TypeScript, REST APIs, FastAPI, Git, CI/CD, Docker, and Kubernetes.
" Strong knowledge of responsible AI, security, privacy, model-risk controls, monitoring, and production-support practices.
" Strong customer-facing communication, architecture presentation, and cross-functional leadership skills.
Preferred Qualifications
" Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
" Experience in Retail, Supply Chain, Logistics, Distribution, or a related business domain.
" Relevant AI, cloud, architecture, software engineering, or Quality Engineering certifications.
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