AI Architect

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

1. AI Architecture Leadership: Define the enterprise architecture reference patterns and technology roadmap for AI-powered Quality Engineering solutions.
2. 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.
3. Orchestration and Integration: Design multi-agent orchestration and integration services supporting requirements review code quality test preparation test execution QE intelligence and release assurance.
4. Governance and Responsible AI: Establish Human-in-the-Loop controls security guardrails explainability confidence scoring model evaluation observability auditability and cost controls.
5. 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.
6. 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
Bachelors or Masters 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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