Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Duluth, GA, United States
Posted
Yesterday
SQLMLOpsMLflowMachine LearningAzureDatabricksDeep LearningGenerative AIGoogle CloudPython
Job Description
Experience: 12+ Years
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).
Similar jobs
- VE
Principal AI Engineer
NewVelsera
United States🇺🇸Remote11 hours agoGCPSwiftAWS+12Technology - DA
AI Engineer
NewDataVisor
Mountain View, California🇺🇸Hybrid2 hours agoDockerAWSFlink+10Technology - AS
Lead AI Engineer
NewAgreeYa Solutions
Phoenix, AZ🇺🇸On-siteYesterdayMicroservicesMachine LearningNLP+7Technology - GE
AI Engineer - Hybrid
Genesis10
Charlotte, NC🇺🇸$60 - $68/hrHybrid1 week agoNLPAzureC#+8Technology - C3
Gen AI Engineer
NewCodeforce 360
Hartford, CT🇺🇸HybridYesterdayAWSMLOpsGenerative AI+3Technology - AG
AWS GenAI Engineer
NewASCII Group LLC
Charlotte, NC🇺🇸$75/hrOn-siteYesterdayDockerFastAPIMicroservices+6Technology