AI Specialist - Manager

KPMG Global Services; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

KPMG Global Services in Bengaluru seeks an AI Specialist/Architect to design and deliver enterprise-grade GenAI, RAG, and Agentic AI solutions. You will shape technical roadmaps, lead cross-functional teams, and ensure scalable, secure deployments aligned with business goals.

You will mentor engineers, drive MVPs, and establish standards for cost-aware production AI. The role demands strategic thinking and hands-on architectural excellence across cloud environments.

Qualifications

• Extensive experience in GenAI and large-scale deployments.
• Strong architectural design of AI systems for enterprise.
• Ability to lead AI/engineering teams and manage delivery.

Responsibilities

• Lead and architect enterprise-scale AI solutions leveraging LLMs and GenAI techniques.
• Design and oversee RAG pipelines and Agentic AI frameworks for complex workflows.
• Define AI architecture standards, scalability, and cloud integration patterns.
• Collaborate with senior stakeholders to influence technology strategy.
• Ensure security, governance, and ethical AI principles.
• Oversee model deployment and cost estimation in production with monitoring.
• Lead MVP development for rapid prototyping and proofs of concept.
• Mentor AI & engineering teams to foster innovation and best practices.

Skills

GenAI

LLMs

RAG

Agentic AI

AI architecture

Team leadership

Tools

Cloud deployment

Model monitoring

Enterprise integrations

Job description

We are seeking a AI Specialist/ AI Architect with extensive experience in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Agentic AI systems. This role requires high technical acumen, architectural design, and delivery of large-scale AI projects. You will influence technical roadmaps, manage teams, and ensure enterprise-grade AI solutions align with business objectives.

Key Responsibilities:

• Lead and architect enterprise-scale AI solutions leveraging LLMs, multimodal models, and advanced GenAI techniques.
• Design and oversee RAG pipelines and Agentic AI frameworks for complex workflows.
• Define AI architecture standards, scalability strategies, and integration patterns with cloud services and be able to implement them from scratch.
• Collaborate with senior stakeholders to propose AI-driven solutions and influence technology strategy.
• Ensure compliance with security, governance, and ethical AI principles.
• Oversee model deployment, model cost estimation in production environments and ensure robust monitoring.
• Lead MVP development for rapid prototyping and proof-of-concept initiatives.
• Mentor and guide AI & engineering teams, fostering innovation and best practices. .