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# AI Solution Architect (Hybrid)

- **Company:** Gsk Solutions Inc
- **Location:** Duluth, GA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Information Engineering, Python (Programming Language), Machine Learning, Systems Development Life Cycle, SQL Databases, Enterprise Search, Pinecone, Google Cloud, Chatbots, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Google Vertex AI, IT Architecture, Deep Learning, Generative AI, Agentic-AI, AI Platforms, Kubernetes, Information Technology, Weaviate, Machine Learning Operations, ChromaDB, Databricks
- **Published:** October 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us872d69227796793688494f09c380efb9

## About the Role

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

## Description

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., 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 GCP.
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