AI Architect

Hybrid in Duluth, GA, US • Posted 3 days ago • Updated 3 days ago
Contract W2
Contract Independent
1 Year
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Retail
  • Machine Learning Operations (ML Ops)
  • Language Models
  • Good Clinical Practice
  • Data Engineering
  • Databricks
  • Business Process
  • Communication
  • Data Science
  • Artificial Intelligence
  • Python
  • Solution Architecture

Summary

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 asu
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).

Preferred Qualifications
Experience leading enterprise-scale AI transformation programs.
Certifications in Google Cloud AI.
Strong stakeholder management and executive communication skills.

Key Skills
AI & GenAI
Machine Learning
Deep Learning
LLMs
RAG
Agentic AI
NLP
Computer Vision

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: 10119106
  • Position Id: 9096426
  • Posted 3 days ago
Contact the job poster
MK

Mohan Kanala

Recruiter @ New York Technology Partners
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