AI Architect - Retail Domain

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