AI ARCHITECT
Enterprise AI | Agentic AI | GenAI | LLM Architecture
| Role | AI Architect |
|---|
| Core Skills | Core AI & GenAI, Architecture & Design, LLM-driven Workflows, Agentic Frameworks, APIs, Cloud Platforms |
| Experience | 12–18+ years (including 3–5+ years in GenAI / LLM-based systems) |
ROLE SUMMARY
The AI Architect will define end-to-end agentic AI frameworks, ensure alignment with enterprise architecture, governance, security, and compliance, while partnering with Engineering, QE, Security, and business stakeholders to deliver enterprise-scale AI solutions.
KEY RESPONSIBILITIES
Business & Stakeholder Leadership
- Translate business problems into agent-driven solution blueprints.
- Partner with senior stakeholders to identify high-impact AI use cases.
- Provide executive guidance on enterprise AI adoption and roadmaps.
Architecture & Design
- Define architectures for single-agent, multi-agent, hierarchical, and tool-using AI systems.
- Design LLM-driven workflows with reasoning, planning, memory, tools, and human-in-the-loop controls.
- Architect RAG and tool-augmented AI solutions using enterprise data sources and APIs.
Governance, Risk & Guardrails
- Establish AI governance for safety, explainability, auditability, bias mitigation, and compliance.
- Define AI lifecycle management from design through retirement.
- Develop testing and certification standards for AI systems.
Core AI & GenAI
- Deep expertise in LLMs, prompt engineering, and reasoning.
- Hands-on experience with LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar frameworks.
- Strong knowledge of RAG, embeddings, vector databases, and knowledge grounding.
- Experience with LoRA/QLoRA and AI evaluation strategies.
Architecture & Engineering
- Strong background in distributed systems, APIs, microservices, and cloud-native architectures.
- Proficiency in Python and enterprise integration patterns.
- Experience leading technical teams.
PREFERRED QUALIFICATIONS
- Experience with Azure, AWS, or Google Cloud Platform AI platforms.
- Experience in regulated enterprise environments.
- Excellent communication and stakeholder management skills.
- Technical leadership and mentoring experience.
WHY JOIN US
Help shape the future of enterprise AI by building scalable agentic AI solutions that transform business operations across a global organization.
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