Why This Role Stands Out
As an AI Architect in the retail domain at ARK Infotech Spectrum, you'll shape innovative AI solutions and drive significant business impact within a hybrid work environment. This role is perfect for a seasoned technologist eager to leverage their expertise in AI/ML and retail to architect scalable, cutting-edge solutions. Apply now to join a forward-thinking team and advance your career!
Quick Overview
Job Description
Job Title: AI Architect - Retail Domain
Location: Duluth, GA (3 days Hybrid)
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 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.
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
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