GenAI Solution Architect

About

GenAI Solution Architect responsible for leading end-to-end AI/GenAI architecture initiatives from discovery through enterprise adoption. The role focuses on designing scalable AI/LLM solutions, RAG architectures, governance frameworks, and cloud-native AI platforms while acting as a trusted advisor to business and technical stakeholders.

Must-Have Skills

• GenAI / AI Solution Architecture
• LLM Applications
• RAG Architecture
• Agentic AI Workflows
• Solution Architecture (HLD/LLD)
• Cloud Platforms (AWS/Azure/GCP)
• AI/ML Architecture
• APIs & Microservices
• MLOps / LLMOps
• Security & Responsible AI
• Executive stakeholder communication
• Customer workshops / discovery sessions

Good-to-Have Skills

• FinOps & Observability
• CICD pipelines
• AI Governance & Compliance
• Human-in-the-loop workflows
• Content Safety / PII protection
• Model Risk Management
• DevSecOps exposure
• Enterprise AI adoption experience
• Cloud certification (preferred) — at least one AWS, Azure, or GCP certification, even foundation level, as GenAI implementations commonly leverage cloud-native AI services and infrastructure.

Roles & Responsibilities

• Lead enterprise-scale AI/GenAI architecture initiatives
• Conduct discovery workshops and identify AI use cases
• Design scalable LLM, RAG, and agentic AI solutions
• Create HLDs, LLDs, integration diagrams, and runbooks
• Define Responsible AI, governance, and security controls
• Implement safeguards for compliance, PII, and auditability
• Collaborate with engineering teams for delivery execution
• Guide cloud, APIs, microservices, MLOps, and LLMOps strategies
• Communicate architecture risks, timelines, and cost considerations to stakeholders