Experience : 15+ years overall | Minimum 10 full-cycle AI/ML project implementations, including GenAI experience.

Role Summary :

We are seeking a AI Architect to lead strategic AI transformation initiatives within the Banking, Financial Services, and Insurance (BFSI) domain.

This role demands deep hands-on experience in AI, Machine Learning (ML), and Generative AI (GenAI), along with the ability to engage directly with C-level stakeholders, align technical delivery with business objectives, and drive enterprise-wide adoption of advanced AI solutions.

The ideal candidate is a techno-strategic leader who can take AI/ML/GenAI projects from ideation to productionbuilding architectures, leading cross-functional teams, and ensuring regulatory and operational alignment in BFSI environments.

Key Responsibilities :

Consulting & Business Alignment :

- Partner with senior business and IT leadership, including CIOs, CDOs, and COOs, to identify high-impact use cases across retail banking, insurance, credit, and capital markets.

- Translate complex BFSI challenges into technically feasible and scalable AI/ML/GenAI solutions.

- Create strategic roadmaps, capability assessments, and PoV/PoC execution plans that align with business KPIs and regulatory needs.

Solution Architecture & Delivery Leadership :

- Design and lead delivery of AI/ML/GenAI pipelines covering data ingestion, model training, validation, deployment, and monitoring.

- Build and scale GenAI-based solutions like LLM-driven chatbots, intelligent document processing, RAG pipelines, summarization tools, and virtual assistants.

- Architect cloud-native AI platforms using AWS (SageMaker, Bedrock), Azure (ML, OpenAI), or GCP (Vertex AI, BigQuery, LangChain).

- Define and implement MLOps and LLMOps frameworks for versioning, retraining, CI/CD, and production observability.

- Ensure adherence to Responsible AI principles, including explainability, bias mitigation, auditability, and compliance with BFSI regulations (GDPR, RBI, SOC2, etc.

Engineering & Integration :

- Work closely with data engineering teams to acquire, transform, and pipeline data from core banking systems, CRMs, claims systems, and real-time feeds.

- Design architecture for data lakes, feature stores, and vector databases supporting AI and GenAI use cases.

- Enable seamless integration of AI capabilities into enterprise workflows, customer platforms, and decision engines via APIs and microservices.

Required Skills & Experience :

- 15+ years of experience in AI/ML, data engineering, and cloud architecture.

- Minimum of 10 end-to-end AI/ML project implementations from use case discovery through to productionization.

- Proven expertise in : (Any One)

AI/ML frameworks : scikit-learn, XGBoost, TensorFlow, PyTorch.
GenAI/LLM platforms : OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma).
Cloud platforms : AWS, Azure, GCP including AI/ML & GenAI native services.
MLOps/LLMOps tools : MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines.

- Strong experience with data security, governance, model risk management, and AI compliance frameworks relevant to BFSI.

- Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders.