Generative AI Systems Architect

Job Overview

The Generative AI Systems Architect will lead and define the architecture for an enterprise GenAI platform. This role involves creating reference architectures, guardrails, and roadmaps to deliver scalable and secure AI solutions including LLMs, agentic applications, and tool integrations across multiple clouds.

Responsibilities

• Design enterprise generative AI reference architectures and reusable blueprints.
• Establish multi-cloud platform foundations addressing networking, identity, and secrets management.
• Lead LLMOps/ModelOps efforts including model evaluation, safety, and rollout strategies.
• Create frameworks for agentic systems and establish governance protocols.
• Ensure compliance with security, risk, and Responsible AI principles.
• Implement cost efficiency, reliability, and performance strategies using FinOps techniques.
• Improve developer experience via CI/CD pipelines and Infrastructure as Code.
• Collaborate with cross-functional teams to align system requirements with strategic objectives.

Requirements

Bachelor's degree in Computer Science, Engineering, or equivalent experience; 1+ years in architecture roles involving cloud, data, or production Generative AI/LLM systems; familiarity with cloud platforms (Azure, AWS, Google Cloud Platform) and IaC tools; experience with containerization (Docker, Kubernetes) and CI/CD tools; and advanced proficiency in English (B2+/C1).

Benefits

• Remote work setup with flexibility across Georgia locations.
• Global impact through innovative solutions and client projects.
• Opportunities for leadership development, certifications, and a variety of learning resources.
• Comprehensive benefits including medical care, stock purchase plans, and referral bonuses.
• Participation in employee social events and international relocation opportunities.

Key skills/competency

• Generative AI
• LLMOps
• Cloud
• Architecture
• Compliance
• Security
• Infrastructure
• CI/CD
• Containerization
• FinOps