Find & Apply For Artificial Intelligence Engineer Jobs in Duluth, Georgia

Job Title:

AI Architect -

Retail Domain Location:

Duluth, GA (3 days Hybrid)

Experience:

12+ Years

Employment Type:

Full-Time/Contract (Need Immediate joiners) Job Summary We are seeking an experienced AI Architect with strong expertise in the Retail industry to lead the design, development, and implementation of AI-driven solutions across enterprise SDLC. The ideal candidate will possess deep knowledge of AI/ML technologies, cloud platforms, retail business processes, and enterprise architecture. Key Responsibilities Define and drive the AI strategy aligned with retail Tech organization objectives. Architect scalable AI/ML solutions for retail use cases in the tech organization (SDLC): Design and implement GenAI solutions such as: Retail Chatbots & Virtual Assistants Product Content Generation Customer Service Automation Knowledge Management Solutions Work closely with stakeholders, product teams, and data scientists to identify and prioritize AI opportunities. Develop enterprise AI architecture, MLOps frameworks, governance models, and deployment standards. Build cloud-native AI solutions using Google Cloud Platform. Experience in AI Platform development. Establish AI governance, responsible AI practices, and model monitoring frameworks. Evaluate emerging AI technologies and provide architectural recommendations. Lead technical teams and mentor data engineers, ML engineers, and AI developers. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. 12+ years of IT experience with 5+ years in AI/ML solution architecture. Strong retail domain experience Hands-on experience with: Machine Learning Deep Learning Generative AI Large Language Models (LLMs) RAG (Retrieval-Augmented Generation) Agentic AI Frameworks Experience with Python, SQL, Spark, and data engineering frameworks.

Expertise in cloud AI services:

Google Vertex AI Strong knowledge of MLOps tools such as MLflow, Kubeflow, Databricks, or SageMaker. Experience with vector databases (Pinecone, Weaviate, ChromaDB, Azure AI Search). Preferred Qualifications Experience leading enterprise-scale AI transformation programs. Certifications in Google Cloud AI. Strong stakeholder management and executive communication skills. Key Skills AI & GenAI Machine Learning Deep Learning LLMs RAG Agentic AI NLP Computer Vision