AI Architect

AI Architect

Location: Duluth, GA – 3 Days Onsite
Only Local Candidates
Visa: No H1B

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

o    Retail Chatbots & Virtual Assistants

o    Product Content Generation

o    Customer Service Automation

o    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:

o    Machine Learning

o    Deep Learning

o    Generative AI

o    Large Language Models (LLMs)

o    RAG (Retrieval-Augmented Generation)

o    Agentic AI Frameworks

·         Experience with Python, SQL, Spark, and data engineering frameworks.

·         Expertise in cloud AI services:

o    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