Job Title : AI Architect or Lead
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
oTraditional ML, deep learning, LLMs, multimodal models
·Experience with AI frameworks:
oTensorFlow, PyTorch, scikit-learn, Hugging Face
·Knowledge of GenAI patterns:
oRAG (Retrieval-Augmented Generation)
oPrompt engineering
oFine-tuning
oAI 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.