AI Architect

Diverse Lynx, LLC; Atlanta (GA); On-site; USD 83,000 - 90,000; Full time

Job summary

Diverse Lynx LLC seeks an experienced AI Architect to lead the architecture, governance, and strategic implementation of an AI-enabled Quality Engineering Center of Excellence. This on-site role in Atlanta requires strong AI architecture, governance, and stakeholder-management capabilities across the software development lifecycle.

The position emphasizes defining target architectures for AI agents, multi-agent orchestration, and Retrieval-Augmented Generation (RAG) with enterprise data sources,

Qualifications

• 12+ years of technology experience, including 5+ in AI/ML 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.

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.

Skills

Generative AI

Agentic AI

Multi-Agent Architecture

RAG

Knowledge Fabric

Vector Search

Prompt Engineering

AI Evaluation

Responsible AI

Python

Education

Bachelor’s or Master’s degree in Computer Science/AI/Data Science/Engineering

Tools

Jira

Confluence

GitHub/GitLab

Azure OpenAI

Docker

Kubernetes

CI/CD

FastAPI

REST APIs

Git

Job description

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.

Pay range: 60-65 per hour(C2C)

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.

Key Skills

Generative AI, Agentic AI, Multi-Agent Architecture, RAG, Knowledge Fabric, Vector Search, Prompt Engineering, AI Evaluation, Responsible AI, Python, FastAPI, APIs, Microservices, Docker, Kubernetes, CI/CD, Jira, Confluence, GitHub/GitLab, Azure DevOps, ServiceNow.

Disclaimer

Diverse Lynx LLC is an Equal Opportunity Employer. All applicants and employees are evaluated without discrimination, based solely on their qualifications, ability, competence and performance. This email and its attachments may contain confidential or proprietary information and is intended only for the recipient(s). If you received this message in error, please disregard it and notify the sender. If you no longer wish to receive our communications, you may unsubscribe at any time.

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