Gen AI Architect

Job Title : AI Architect

Location : Atlanta, GA (5 days onsite in a week)

Hire Type : Contract

Summary

The AI Architect is responsible for designing, governing, and guiding the architecture of AI and machine learning solutions across the organization. This role focuses on enterprise-scale AI system design, ensuring solutions are scalable, secure, reliable, cost-effective, and aligned with business strategy and responsible AI principles.

Key Qualifications

· 15+ years of experience in architecture, digital transformation, data, or product/solution roles

· 7+ years delivering AI/ML solutions at scale

· Hands-on experience with at least one major cloud AI stack (Azure, AWS, or Google Cloud)

AI & Machine Learning Expertise

· Strong understanding of ML and Generative AI concepts

o Traditional ML, deep learning, LLMs, multimodal models

· Experience with AI frameworks:

o TensorFlow, PyTorch, scikit-learn, Hugging Face

· Knowledge of GenAI patterns:

o RAG (Retrieval-Augmented Generation)

o Prompt engineering

o Fine-tuning

o AI agents

Architecture & Software Engineering

· Deep expertise in distributed systems and microservices architecture

· API-based integrations and event-driven architecture

· Strong system design and performance engineering skills

Data & MLOps

· Data architecture for structured and unstructured data

· MLOps lifecycle management (training, versioning, deployment, monitoring)

· CI/CD pipelines for AI systems

Cloud & Infrastructure

· Enterprise cloud architecture (Azure preferred)

· Containers and orchestration: Docker, Kubernetes

· Observability: logging, monitoring, tracing, model performance metrics

Security, Risk & Compliance

· AI security, model protection, data privacy, and IP safeguards

· Experience with governance frameworks and regulated environments

· Explainable AI and audit-ready solution design

Leadership & Communication

· Strong ability to influence without direct authority

· Experience guiding multiple teams and initiatives

· Excellent communication skills for both technical and executive audiences

Responsibilities

AI Architecture & System Design

· Define end-to-end AI solution architecture from data ingestion to deployment and consumption

· Design scalable architectures for ML, GenAI, RAG systems, real-time inference, and batch processing.