Description

Job Description:

Look for a Solution/AI Architect or GenAI Architect who has combined GCP + GenAI/Agentic AI + CDP/Customer 360 + Banking/Financial Services experience—not just a hands-on GenAI developer.

Generative AI Architect – Key Requirements

Seeking a Generative AI Architect with strong experience in GenAI, Agentic AI, GCP Cloud Architecture, Customer Data Platform (CDP), and Banking/Financial Services.

Key Responsibilities & Skills:

• Architect enterprise-scale Generative AI / Agentic AI solutions using LLMs, RAG, AI Agents, Multi-Agent frameworks, Knowledge Graphs, and Vector Databases.
• Strong hands-on experience with GPT, Gemini, Claude, Llama, prompt engineering, fine-tuning, LoRA/QLoRA, AI Guardrails and Responsible AI.
• Expertise in RAG, embeddings, semantic search, vector databases – Pinecone, Vertex AI Vector Search, Weaviate, FAISS.
• Strong GCP / Google Cloud architecture experience with Vertex AI, Gemini, BigQuery, Dataflow, Pub/Sub, Cloud Run, GKE, Cloud Functions, Cloud Storage, Dataproc, IAM/Security.
• Experience with Customer Data Platforms (CDP), Customer 360, Identity Resolution, MDM, personalization, consent and data privacy.
• Strong knowledge of Python, SQL, distributed data processing, feature engineering, Data Lake/Data Mesh and AI/Data Engineering.
• Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel.
• Expertise in MLOps/LLMOps, AI observability, monitoring, governance, explainability and hallucination reduction.
• Strong understanding of banking operations, fraud, risk & controls, financial crime analytics, regulatory compliance and customer servicing.
• Experience leading architecture reviews, solution design, technical governance, stakeholder workshops and enterprise AI transformation programs

Key Skills

Education

Any Graduate