Senior AI Architect for Retail: GenAI & MLOps Leader

Quantum World Technologies Inc.; Duluth (GA); On-site; USD 170,000 - 230,000; Full time

Job summary

Quantum World Technologies Inc. is seeking a senior AI/ML solution architect to define and drive an AI strategy aligned with retail tech objectives.

You will architect scalable GenAI solutions, including retail chatbots, content generation, and customer service automation, working with data scientists and stakeholders across the organization. You will develop enterprise AI architecture, governance models, and MLOps practices, build cloud-native AI solutions on GCP, and mentor a team of engineers

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field.
• 12+ years of IT experience with 5+ years in AI/ML solution architecture.
• Hands-on experience with Generative AI, RAG, and Agentic AI Frameworks.
• Proficiency in Python, SQL, Spark, and data engineering frameworks.
• Expertise in cloud AI services and MLOps tools like MLflow, Kubeflow, Databricks, or SageMaker.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, Azure AI Search.

Responsibilities

• Define and drive the AI strategy aligned with retail tech organization objectives.
• Architect scalable AI/ML solutions across the SDLC.
• Design and implement GenAI solutions including Retail Chatbots & Virtual Assistants.
• Develop content generation and customer service automation capabilities.
• Establish governance, monitoring, and deployment standards for AI systems.
• Collaborate with stakeholders and lead technical teams of data engineers and ML engineers.

Skills

Generative AI

RAG

Agentic AI Frameworks

Python

SQL

Spark

Data engineering frameworks

Education

Bachelor's or Master's in CS/Data Science/AI/Engineering

Tools

MLflow

Kubeflow

Databricks

SageMaker

Pinecone

Weaviate

ChromaDB

Azure AI Search

Job description

Quantum World Technologies Inc. is seeking a senior AI/ML solution architect to define and drive an AI strategy aligned with retail tech objectives.

You will architect scalable GenAI solutions, including retail chatbots, content generation, and customer service automation, working with data scientists and stakeholders across the organization. You will develop enterprise AI architecture, governance models, and MLOps practices, build cloud-native AI solutions on GCP, and mentor a team of engineers