AI Solution Architect

AI Solution Architect
Experience: 10 Years
Role Summary
We are looking for a hands-on AI Solution Architect with extensive experience in designing
building and deploying enterprise-grade AI solutions. This is a customer-facing role requiring
close collaboration with business stakeholders and engineering teams to architect develop
and implement production-ready AI applications.
The ideal candidate must have personally built and delivered at least one end-to-end AI
solution from architecture through deployment and production support.
This is not an architecture-only or advisory role. Candidates must have hands-on
implementation experience and be capable of independently designing developing
integrating and deploying enterprise AI solutions into production.
Key Responsibilities
Design architect and hands-on develop enterprise AI solutions.
Translate business requirements into scalable AI architectures.
Build AI applications using LLMs RAG AI Agents and orchestration frameworks.
Design and implement Knowledge Stores Context Stores and AI orchestration
workflows.
Develop and optimize prompts for enterprise AI use cases.
Implement deterministic and non-deterministic AI workflows.
Integrate AI solutions with enterprise applications and cloud platforms.
Establish AI governance security guardrails and risk controls.
Provide technical leadership while remaining actively involved in implementation.
Skills & Experience
Hands-on experience with AI-assisted development (Vibe Coding) using tools such as
Cursor GitHub Copilot Claude Code Windsurf or Gemini Code Assist.
Experience with Model Context Protocol (MCP).
Exposure to vector databases such as Pinecone Weaviate Chroma or Azure AI Search.
10 years of overall IT solution architecture experience.
Hands-on in designing developing and deploying enterprise AI solutions.
Proven experience delivering at least one complete AI project from concept to
production.
Strong customer-facing and stakeholder management experience.
Technical Expertise
Vertex AI or Azure AI Foundry
LangGraph and LangSmith
LLM Prompt Engineering Prompt Evaluation & Optimization
Knowledge Stores Context Stores Vector Databases and RAG
AI Agents and Multi-Agent Systems
Deterministic & Non-Deterministic AI Orchestration
REST APIs and Enterprise System Integration
AI Governance

Responsible AI
AI Governance Frameworks
AI Risk Management
AI Guardrails
Security Compliance and Model Monitoring

Required Skills:

AI Solution ArchitectVertex AILangGraph