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AI Architect

Hybrid in Duluth, GA, US • Posted 13 hours ago • Updated 13 hours ago

Contract W2

Contract Corp To Corp

Contract Independent

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Job Details

Skills

Artificial Intelligence
Solution Architecture
Retail
Generative Artificial Intelligence (AI)
Python
SQL
Machine Learning (ML)
Mentorship
Data Science
Data Engineering

Summary

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).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10196450
Position Id: 9078940
Posted 13 hours ago

Contact the job poster

Shubham Singh

Recruiter @ Maven Companies

View Profile

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