Posted on: 13/12/2025
AI Architect (Enterprise & Generative AI).
Exp : 10+ yrs.
Required Skills & Competencies :
Core Technical Skills :
- Advanced understanding of LLMs, embeddings, vector databases, and evaluation frameworks.
- Experience with LangChain, LlamaIndex, semantic caching, chunking strategies, and retrieval tuning.
- Deep knowledge of both traditional ML and modern GenAI approaches.
Role & Responsibilities :
Architecture & Governance Skills :
- Experience in creating Architecture Decision Records (ADRs), system context maps, solution blueprints, and capability models.
- Proven ability to enforce non-functional requirements across security, scalability, and cost governance.
Leadership & Consulting Skills :
- Experience leading cross-functional teams and mentoring engineering pods.
- Consulting mindset with depth in requirement elicitation, solution shaping, and road mapping.
Education & Certifications :
- TOGAF, Cloud Architect Certifications (Azure/AWS/GCP) preferred.
- Generative AI, ML, or LLMOps certifications are a plus.
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