What are the responsibilities and job description for the AI Architect – Retail / GenAI position at Acunor?
AI Architect – Retail / GenAI
Location: Duluth, GA – Hybrid (3 days onsite)
Experience: 12 Years
Employment Type: Contract
Joining: Short Notice Preferred
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
- Product content generation
- Customer service automation
- Enterprise knowledge management
- 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.
- Strong, demonstrable Retail industry/domain experience.
- Enterprise-level experience architecting and delivering production AI solutions.
- Strong hands-on expertise in:
- 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 designing or developing enterprise AI platforms.
- 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.