AI Architect – Retail / GenAI

Inabia Software & Consulting Inc.; Duluth (GA); Hybrid; USD 76,000 - 83,000; Full time

Job summary

Zensar is seeking an AI Architect – Retail / GenAI to design and deliver enterprise-grade AI/GenAI solutions for a retail client. You will own the architecture for LLMs, data pipelines, and integration with Google Vertex AI in a Duluth, GA hybrid setting.

The role requires 12+ years in IT with 5+ years in AI/ML architecture, strong retail domain expertise, and proven leadership to align governance, security, and production readiness across teams.

Qualifications

• 12+ years total IT experience with 5+ years in AI/ML architecture.
• Strong Retail domain experience is mandatory.
• Proven experience in enterprise AI/GenAI architecture and production implementations.
• Experience with LLMs, RAG, Agentic AI, NLP, ML/DL.

Responsibilities

• Architect AI/GenAI solutions for Retail with production deployments and governance.
• Lead enterprise AI architecture and collaborate with cross-functional teams.

Skills

AI/ML Architecture

Retail domain experience

GenAI architecture

LLMs

RAG

NLP

ML/DL

Python

SQL

Spark

GCP

Vertex AI

MLOps

Databricks

Vector databases

Tools

Google Vertex AI

MLflow

Kubeflow

Databricks

Pinecone

Weaviate

ChromaDB

Job description

Role: AI Architect – Retail / GenAI

Client: Zensar

Location: -Duluth, GA – Hybrid (3 Days Onsite)

Rate: $55-$60/hr

Visa Category: H1B only (C2C allowed) (No GC and USC on this)

Experience: 12+ Years

Type: Full-Time & Contract

Joining: Short Notice Preferred

Key Skills

• 12+ years overall IT with5+ years AI/ML Architecture
• Strong Retail domain experience – Mandatory
• Enterprise AI/GenAI architecture & production implementations
• LLMs,RAG, Agentic AI, NLP, ML/DL
• Python, SQL, Spark & modern data engineering
• GCP & Google Vertex AI
• Enterprise AI platforms
• MLOps – MLflow, Kubeflow, Databricks or equivalent
• Vector databases – Pinecone, Weaviate, ChromaDB or equivalent
• AI governance, responsible AI, security & model monitoring
• Strong architecture leadership and executive stakeholder management