Description

Key Responsibilities

• Define and drive AI strategy aligned with retail technology organization objectives
• Architect scalable AI/ML solutions for retail use cases including GenAI applications: Retail Chatbots & Virtual Assistants, Product Content Generation, Customer Service Automation, and Knowledge Management Solutions
• Collaborate 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 and Google Vertex AI
• Establish AI governance, responsible AI practices, and model monitoring frameworks
• Evaluate emerging AI technologies and provide architectural recommendations

Required Skills

• Machine Learning, Deep Learning, Generative AI, LLMs, RAG, Agentic AI Frameworks
• Python, SQL, Apache Spark, and data engineering frameworks
• Google Cloud Platform (GCP), Google Vertex AI
• MLOps tools: MLflow, Kubeflow, Databricks, or SageMaker
• Vector databases: Pinecone, Weaviate, ChromaDB, Azure AI Search
• Strong retail domain experience
• Bachelor's or Master's in Computer Science, Data Science, AI, Engineering, or related field

Preferred Skills

• Experience leading enterprise-scale AI transformation programs
• Google Cloud AI certifications
• Strong stakeholder management and executive communication skills

Key Skills

Education

Bachelor's or Master's degrees