AI Lead

Key Responsibilities
1. AI Architecture & Strategy
 GenAI Roadmap: Define the reference architecture for Large Language Models (LLMs) and RAG (Retrieval-Augmented Generation) systems, selecting the right mix of open-source (e.g., Llama, Mistral) and proprietary models.
 Scalable Infrastructure: Architect end-to-end MLOps pipelines on cloud platforms (Azure/AWS) to ensure high availability and low latency for real-time banking applications.
 Tech Stack Decisions: Lead decisions on vector databases, orchestration frameworks (LangChain/LlamaIndex), and inference engines.
2. AI Governance & Risk Management
 Responsible AI Framework: Establish and enforce policies for Fairness, Accountability, and Transparency (FAT). Implement guardrails to detect hallucinations, bias, and toxic content in GenAI outputs.
 Regulatory Compliance: Ensure all AI solutions align with evolving global standards (e.g., EU AI Act, NIST AI RMF) and banking-specific regulations (Central Bank guidelines).
 Model Risk Management: Oversee the validation lifecycle of models, ensuring robust documentation, versioning, and auditable lineage.
3. Leadership & Collaboration
 Stakeholder Management: Act as the technical advisor to C-suite executives, translating complex AI risks and opportunities into business language.
 Team Mentorship: Guide a team of Senior Data Scientists and ML Engineers, fostering a culture of "Secure by Design" development.
Requirements

 Experience: 10–12 years of total IT experience, with at least 4–5 years dedicated to AI/ML Architecture and 2+ years in AI Governance/Risk.
 Technical Mastery:
o Deep understanding of Transformer architectures, LLM fine-tuning, and Agentic Workflows.
o Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
o Hands-on experience with Governance tools (e.g., TruLens, Arize AI, or custom bias detection scripts).  Domain Expertise: Strong background in BFSI (Banking, Financial Services, Insurance) is mandatory. You must understand data privacy (GDPR/NDMO) and PII protection.
 Certifications: Certifications in Cloud Architecture (Azure Solutions Architect) or AI Governance are highly preferred.