Role Overview

We are looking for a Lead AI Architect to drive enterprise-wide AI strategy, architecture, and implementation across ML and Generative AI initiatives. This role will define the AI vision, establish best practices, and lead large-scale AI transformations in the BFSI domain.

Key Responsibilities

Define and lead enterprise AI/GenAI architecture strategy and roadmap

Design scalable platforms for ML and GenAI (LLMs, RAG pipelines, AI agents)

Lead design of advanced use cases: fraud detection, risk modeling, document intelligence, AI copilots

Evaluate and onboard LLMs (OpenAI, open-source models like LLaMA, Mistral, etc.)

Establish AI governance frameworks (model risk management, explainability, fairness, compliance)

Drive adoption of MLOps and LLMOps best practices





Provide thought leadership and mentor architects and senior engineers

Collaborate with CXOs and business leaders to align AI initiatives with business outcomes

Required Skills

Deep expertise in ML, NLP, and GenAI ecosystems

Solid experience with LLM frameworks (LangChain, LlamaIndex, Hugging Face)

Hands-on with RAG architectures, embeddings, and vector databases

Experience in designing enterprise-scale AI platforms on cloud

Strong understanding of AI governance, risk, and compliance in BFSI

Proven leadership in driving large-scale AI transformations

Experience

~12–18 years overall, with 5+ years in AI architecture/lead roles

📌 Lead Architect AI/ML (Bengaluru)
🏢 Ascendion
📍 Bengaluru