AI Solution Architect – Cloud & Business Intelligence
--Yoursoft Alternative--
AI Solution Architect – Cloud & Business Intelligence
Primary Skills: AI Solution Architecture, Multi-Tenant SaaS, Enterprise Integration, GenAI, LLMs, RAG, LangChain, Python, Kubernetes, DevSecOps
Skill Level: Master
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Role Overview
AI Solution Architect responsible for designing and delivering AI-first cloud applications for enterprise customers. The role owns the solution lifecycle from discovery and architecture through production deployment, combining modern AI technologies, scalable cloud architectures, and enterprise integration to deliver production-ready solutions.
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Key Responsibilities
- Design AI-first cloud application architectures
- Define scalable multi-tenant SaaS and integration solutions
- Lead technical discovery, prototyping, and production delivery
- Design LLM, RAG, and agentic AI solution architectures
- Guide customer engineering teams on architecture and best practices
- Ensure secure, scalable, and DevSecOps-aligned implementations
- Communicate technical solutions to business and executive stakeholders
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Required Skills
- Experience designing multi-tenant SaaS architectures
- Strong enterprise integration and API/event-driven architecture knowledge
- Experience delivering AI-first production applications
- Hands-on experience with LLM platforms, RAG, and agentic AI frameworks
- Strong backend development experience (Python, Java, or Node.js)
- Experience with Kubernetes, Docker, and CI/CD
- Excellent communication and stakeholder management skills
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Nice to Have
- Experience with LangChain, LangGraph, LlamaIndex, Haystack, or MCP
- Knowledge of PyTorch, TensorFlow, or scikit-learn
- Experience with vector databases and embedding pipelines
- Databricks, Spark, or MLflow experience
- Experience with enterprise DevSecOps and MLOps practices
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Candidate Profile
- AI Solution Architect with strong cloud and enterprise architecture expertise
- Experienced in designing scalable GenAI and SaaS solutions
- Comfortable leading technical discussions with engineering teams and executive stakeholders
- Passionate about delivering secure, production-ready AI applications end-to-end