Generative AI Architect (GenAI / LLM Architect)

Generative AI Architect (GenAI / LLM Architect)

---

📄 Job Summary

We are seeking an experienced Generative AI Architect to design and lead enterprise-scale AI solutions.

The ideal candidate will define the AI vision, architecture, and governance frameworks, with deep expertise in Large Language Models (LLMs), vector databases, and cloud-based AI deployments.

---

🛠️ Key Responsibilities

📌 Architecture & Strategy

• Define and design end-to-end AI solution architecture
• Establish enterprise AI vision, standards, and best practices
• Translate business problems into scalable AI architectures

---

📌 GenAI & LLM Solutions

• Design and implement solutions using:
  • Large Language Models (LLMs) (GPT, Llama, Claude, etc.)
  • Frameworks like LangChain / LangGraph
• Build RAG (Retrieval-Augmented Generation) pipelines

---

📌 Data & Vector Architecture

• Design and manage vector databases:
  • Pinecone, FAISS, Weaviate, Milvus, Chroma
• Enable semantic search, embeddings, and knowledge retrieval systems

---

📌 Cloud & Deployment

• Architect and deploy AI solutions on:
  • AWS / Azure / GCP
• Design scalable, secure, and high-performance AI systems

---

📌 Responsible AI & Governance

• Define and implement:
  • Responsible AI frameworks
  • AI governance and compliance standards
• Ensure fairness, explainability, and ethical AI usage

---

📌 Leadership & Collaboration

• Lead cross-functional teams (engineering, data, product)
• Provide architectural guidance and mentorship
• Communicate technical solutions to stakeholders

---

✅ Required Skills

🔹 Core AI Skills

• Strong expertise in:
  • Generative AI / LLMs
  • AI/ML frameworks

---

🔹 Technical Skills

• Python and ML libraries
• Experience with:
  • LangChain / LangGraph
  • OpenAI / Hugging Face

---

🔹 Data & Vector DB

• Hands-on experience with:
  • Vector databases (Pinecone, FAISS, etc.)
• Knowledge of embeddings and semantic search

---

🔹 Cloud Platforms

• AWS / Azure / GCP
• Experience deploying AI solutions in production

---

🔹 Architecture

• Enterprise architecture
• Solution design and scalability

---

🔹 Governance

• Responsible AI
• AI ethics and compliance

---

🏆 Preferred Skills

• Experience in enterprise AI transformation programs
• Exposure to MLOps pipelines
• Strong stakeholder management

---

🎓 Experience Required

• 8–10+ years of experience in AI/ML
• Proven experience in AI architecture and solution design
• Master’s degree in Computer Science or related field (preferred)