Job Summary
We are seeking an experienced AI Solution Architect to design, lead, and govern enterprise-scale AI solutions leveraging Generative AI, Agentic AI, and modern AI orchestration frameworks. The ideal candidate should possess strong expertise in AI architecture, Large Language Models (LLMs), AI governance, cloud AI platforms, and emerging AI development paradigms including Vibe Coding.
The role involves architecting scalable AI solutions using Vertex AI or Azure AI Foundry, building agentic workflows with LangGraph, defining AI governance controls, and enabling secure enterprise AI adoption while balancing innovation, risk, compliance, and business value
Key Responsibilities
AI Solution Architecture
- Design end-to-end GenAI and Agentic AI solutions aligned to enterprise business objectives.
- Define scalable AI reference architectures, integration patterns, and deployment strategies.
- Lead architecture reviews and technology decisions for AI platforms and toolchains.
- Drive enterprise adoption of AI-first engineering and AI-assisted development practices.
Agentic AI & Orchestration
- Architect multi-agent and agentic workflows using LangGraph.
- Design deterministic and non-deterministic orchestration strategies.
- Implement workflow routing, tool calling, memory management, and reasoning chains.
- Define human-in-the-loop approval and exception handling mechanisms.
LLM & Knowledge Architecture
- Design Retrieval Augmented Generation (RAG) solutions.
- Build and govern:
- Knowledge Stores
- Context Stores
- Vector Databases
- Semantic Search Frameworks
- Define prompt engineering standards, prompt lifecycle management, and evaluation frameworks.
- Optimize AI systems for accuracy, latency, cost, and explainability.
AI Platform Engineering
- Architect solutions using:
- Google Vertex AI OR
- Azure AI Foundry
- Design AI platform capabilities including:
- Model hosting
- Prompt management
- Model gateway
- AI observability
- Safety guardrails
- LLMOps practices
Vibe Coding Leadership
- Drive adoption of AI-assisted development and Vibe Coding practices.
- Define patterns for:
- AI-assisted software development
- Automated code generation
- Agent-assisted testing
- AI code review
- Development productivity measurement
- Establish governance and quality controls for AI-generated code.
Governance, Risk & Compliance
- Define Responsible AI frameworks and governance controls.
- Conduct AI risk assessments and model risk reviews.
- Implement controls for:
- Data privacy
- Security
- Compliance
- Hallucination mitigation
- Prompt injection protection
- Model monitoring
- Human oversight
Ensure adherence to enterprise AI governance policies and regulatory requirements
Skill Requirements
AI & GenAI Platforms
- Azure AI Foundry or Google Vertex AI
- Azure OpenAI / Gemini / OpenAI ecosystem
- AI Model Deployment and LLMOps
Agentic Frameworks
- LangGraph
- LangSmith
- LangChain
- Semantic Kernel (preferred)
LLM Engineering
- Prompt Engineering
- Prompt Optimization
- Model Evaluation
- RAG Architecture
- Embeddings
- Vector Databases
Knowledge & Context Management
- Knowledge Store Architecture
- Context Engineering
- Memory Management
- Semantic Search
- Vector Search
AI Orchestration
- Deterministic Workflows
- Non-Deterministic Agent Workflows
- Multi-Agent Architecture
- Human-in-the-Loop Controls
Cloud & Engineering
- Python
- APIs & Microservices
- Kubernetes
- Docker
- CI/CD
- GitHub / Azure DevOps
Governance & Risk
- Responsible AI
- AI Governance Frameworks
- AI Risk Management
- Regulatory Compliance
- Security & Privacy Controls
- AI Auditability