AI Solution Architect (Hybrid)

Job Title

AI Solution Architect (Hybrid)

Location

Duluth, GA

Duration

12 Months

Interview Type

Virtual / In-Person

Description

Job Summary

We are seeking an experienced AI Architect 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.

Top Skills

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

Recruiter

Contact: Sameer - - Seven one nine - two three nine - Five five five five