AI/LLM Solution Architect, Generative AI & RAG in Enterprise
Overview
Own the design and delivery of scalable, secure AI solutions at scale for enterprise clients. Lead architecture for LLM, RAG, and multi-agent workflows across cloud platforms and production environments. Collaborate with data engineering, security, and governance teams to ensure compliance and observability. Drive POCs, documentation, and best practices to translate cutting-edge AI into practical applications.
What You'll Do10
- 1Build reference architectures for LLM, RAG, Generative AI, and multi-agent workflows
- 2Design data solutions with RAG and Action Agents for task automation
- 3Integrate enterprise data sources securely ensuring governance and auditability
- 4Ship production-ready solutions with CI/CD, IaC, observability, SLOs, and rollback
- 5Lead deployments across dev, test, staging, and production environments
- 6Analyze use cases and recommend effective AI/LLM architecture and technology
- 7Create solution design documentation and develop POCs to validate feasibility
- 8Apply best practices across AI architecture, data integration, and enterprise workflows
- 9Collaborate with cloud platforms and data governance to ensure compliance
- 10Mentor engineers on scalable AI solution patterns and engineering standards
Requirements5
- 18+ years of solution architecture experience
- 23+ years designing and implementing AI/LLM solutions
- 3Experience with production-ready RAG, LLM, multi-agent, and AI automation solutions
- 4Experience with cloud platforms, enterprise integrations, CI/CD, IaC, security, governance, and observability
- 5Experience in regulated or highly governed environments is preferred
Salary Insight
Salary not disclosed in listing
Location
Required Skills
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