AI Architect - Retail Domain

Acunor; Duluth (GA); On-site; USD 170,000 - 210,000; Full time

Job summary

Acunor is seeking an experienced AI Architect with strong Retail domain expertise to lead the architecture and implementation of enterprise AI and Generative AI solutions. The role will focus on applying AI across the technology organization and SDLC, building scalable AI platforms and establishing architecture, governance, MLOps, and responsible AI standards.

The ideal candidate will combine hands-on AI/GenAI expertise with enterprise architecture experience and the ability to lead technical

Qualifications

• 12+ years IT experience including 5+ years in AI/ML solution architecture
• Enterprise-level experience delivering production AI solutions
• Experience with GenAI, LLMs, and RAG architectures
• Hands-on with cloud platforms (GCP) and Vertex AI
• Experience with MLOps tools and vector databases

Responsibilities

• Define and drive enterprise AI/GenAI architecture and strategy
• Architect scalable AI solutions across SDLC and enterprise tech landscape
• Design and implement GenAI solutions including chatbots and NLP/ML pipelines
• Build AI platforms and reusable AI capabilities for enterprise adoption
• Lead technical teams and mentor AI/ML engineers and data engineers

Skills

AI/ML architecture

Enterprise architecture

Team leadership

Stakeholder communication

Education

Bachelor's or Master's in CS/Engineering/AI

Tools

Python

SQL

Spark

GCP

Vertex AI

MLflow

Kubeflow

Databricks

Pinecone

Job description

Experience: 12+ Years

Job Summary

We are seeking an experienced AI Architect with strong Retail domain expertise to lead the architecture and implementation of enterprise AI and Generative AI solutions. The role will focus on applying AI across the technology organization and Software Development Life Cycle (SDLC), building scalable AI platforms and establishing architecture, governance, MLOps, and responsible AI standards.

The ideal candidate will combine strong hands-on AI/GenAI expertise with enterprise architecture experience and the ability to lead technical teams and engage senior stakeholders.

Key Responsibilities

• Define and drive enterprise AI/GenAI architecture and strategy aligned with retail technology objectives.
• Architect scalable AI solutions across the SDLC and enterprise technology landscape.
• Design and implement GenAI solutions including:
• Retail chatbots and virtual assistants
• Architect solutions leveraging LLMs, RAG, Agentic AI, NLP, and ML/DL technologies.
• Design and develop AI platforms and reusable AI capabilities for enterprise adoption.
• Build cloud-native AI solutions using GCP and Google Vertex AI.
• Define MLOps frameworks, AI governance, responsible AI practices, deployment standards, and model monitoring.
• Partner with product teams, business stakeholders, data scientists, and engineering teams to identify and prioritize AI opportunities.
• Evaluate emerging AI technologies and recommend appropriate architecture and implementation approaches.
• Provide technical leadership and mentorship to AI/ML engineers, data engineers, and AI developers.

Required Qualifications

• 12+ years of overall IT experience, including 5+ years in AI/ML solution architecture.
• Enterprise-level experience architecting and delivering production AI solutions.
• Generative AI and Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Agentic AI frameworks
• Machine Learning and Deep Learning
• NLP and/or Computer Vision
• Strong experience with Python, SQL, Spark, and modern data engineering frameworks.
• Hands-on experience with GCP and Google Vertex AI.
• Experience with MLOps technologies such as MLflow, Kubeflow, Databricks, or equivalent platforms.
• Experience with vector databases/search technologies such as Pinecone, Weaviate, ChromaDB, or equivalent.
• Strong understanding of AI governance, responsible AI, security, model monitoring, and production deployment.
• Proven ability to lead technical teams and communicate architecture decisions to senior stakeholders.

Preferred Qualifications

• Experience leading enterprise-scale AI transformation programs.
• Google Cloud / AI certifications.
• Strong stakeholder management and executive communication skills.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.