AI Architect

Tasks

• Define enterprise AI architecture and adoption strategies
• Design and implement Agentic AI, multi-agent orchestration, and RAG solutions
• Lead AI integration across the Software Development Life Cycle (SDLC)
• Establish responsible AI governance, security, privacy, and model-risk controls
• Collaborate with customers and cross-functional teams to deliver scalable AI solutions
• Drive production readiness, monitoring, and continuous improvement

Requirements

• 12+ years of overall technology experience, including 5+ years in AI/ML, Generative AI, or Intelligent Automation
• LLMs, Agentic AI, Multi-Agent Systems, RAG, Embeddings, Vector Search, and Prompt Engineering
• Claude, Gemini, Codex, Azure OpenAI, or equivalent enterprise LLM platforms
• Python, Java and/or TypeScript, FastAPI, REST APIs, and Microservices
• Git, CI/CD, Docker, Kubernetes, and Cloud-Native Architecture
• Enterprise AI Governance, Responsible AI, Security, and Model Evaluation
• Excellent customer-facing communication, architecture presentation, and leadership skills

Schedule

• Onsite

How to apply

• Share your updated resume or connect via direct message.

Location

• Atlanta, GA