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