AI Architect

Job Description
Must Have Technical/Functional Skills

• Enterprise AI & Agentic Architecture
• GenAI / LLM Platforms and Orchestration
• Responsible AI & BFSI Compliance
• Cloud-Native and Data Platform Architecture
• Architecture Governance and Design Authority
• Client-facing Solution Leadership

Roles & Responsibilities

• Design end-to-end AI and Agentic AI architectures across data, model, orchestration, agent, and engagement layers
• Define enterprise AI reference architectures, autonomy boundaries, and human-in-the-loop controls
• Design and govern multi-agent workflows, prompt chains, and AI orchestration frameworks
• Embed Responsible AI, security, privacy, explainability, lineage, and auditability by design
• Translate BFSI business use cases into scalable, production-grade AI architectures
• Guide platform choices across cloud, data platforms, LLMs, and MLOps in regulated environments
• Support client solutioning, pre-sales, architecture reviews, and technical governance
• Establish AI architecture standards, reusable patterns, and best practices

Qualifications & Experience
12+ years of experience in architecture, data, or platform engineering
5+ years of hands-on experience in AI/ML or GenAI architectures
Strong BFSI domain exposure Banking, Capital Markets, Payments, or Insurance

Experience with GenAI, LLMs, AI agents, RAG, vector databases, and orchestration
Proven track record designing secure and compliant systems in regulated environments
Ability to engage CXO stakeholders and influence architecture decisions