Principal AI Architect - Bangalore

Dappverse Computing Chennai; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Dappverse Computing Chennai in Bengaluru seeks a Principal AI Architect to lead the enterprise AI, GenAI and Agentic AI architecture across LLMs, RAG, AI agents and MLOps. The role requires driving end-to-end AI solutions with security and governance at scale.

You will collaborate with CTOs and business leaders to translate complex problems into scalable, production-ready AI systems, while mentoring engineers and presenting strategy to executives.

Qualifications

• 16+ years of IT experience
• 4+ years in AI/ML/GenAI architecture
• Experience delivering enterprise GenAI solutions
• Experience with Agentic AI / Multi-Agent systems
• Multi-cloud architecture experience
• BFSI/Fintech knowledge is a plus

Responsibilities

• Lead end-to-end AI architecture for enterprise-scale GenAI solutions
• Collaborate with CTOs, CIOs and senior stakeholders to set strategy
• Mentor architects and senior engineers across teams
• Present AI architecture, PoCs and technology strategy to clients/executives

Skills

Stakeholder management

Architectural leadership

AI transformation programs

Mentoring

Communication & presentation

Education

TOGAF or equivalent EA exposure

Job description

Principal AI Architect Job Description

Experience: 16+ Years
Role: Principal AI Architect / Principal GenAI Architect

Location: Bengaluru

Role SummaryWe are looking for a Principal AI Architect to lead the architecture, design and implementation of enterprise-scale AI, Generative AI and Agentic AI solutions. The role will own the end-to-end AI architecture spanning LLMs, RAG, AI agents, cloud platforms, data, MLOps/LLMOps, security, governance and enterprise integration.The architect will work closely with CTOs, business leaders, engineering teams and enterprise architects to convert business problems into scalable, secure and production-ready AI solutions. Current enterprise AI architect roles commonly emphasize GenAI/Agentic AI, cloud AI platforms, RAG, governance, observability and multi-cloud architecture.

Leadership Requirements

• Strong experience working with CTO/CIO/CDO and senior business stakeholders.
• Ability to lead architecture decisions across multiple teams.
• Strong consulting and stakeholder-management skills.
• Experience leading AI transformation programs.
• Ability to mentor architects and senior engineers.
• Excellent communication and presentation skills.
• Experience presenting AI architecture, PoCs and technology strategy to clients/executives.

Preferred Experience

• 16+ years overall IT experience
• 4+ years in AI/ML/GenAI architecture
• Experience delivering enterprise production GenAI solutions
• Experience with Agentic AI / Multi-Agent systems
• Experience in multi-cloud architecture
• TOGAF or equivalent enterprise architecture exposure.
• Experience in BFSI, Fintech, Insurance, Capital Markets, and Investment Banking is an advantage.