AI Architect

Location: (Multiple states)

AI Architect

**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 the 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 GCP. - 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. ** Qualifications** - Bachelors or Masters 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