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AI Architect
Job in
Duluth, Gwinnett County, Georgia, 30097, USA
Listed on 2026-09-05
Listing for:
OmegaHires
Full Time
position Listed on 2026-09-05
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations, Data Scientist
Job Description & How to Apply Below
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
- 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 Sage Maker.
- 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.
- AI & GenAI
- Machine Learning
- Deep Learning
- LLMs
- RAG
- Agentic AI
- NLP
- Computer Vision
Key Skills
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