AI Solution Architect (Hybrid)
GSK Solutions Inc.
- Job
- 28325
- Posted
- Location
- Georgia
- Work type
- Contract
- Tax terms
- C2C
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- SQL
- Python
- Spark
- Databricks
- Azure
- Machine Learning
- MLOps
- NLP
About the job
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