Generative AI Architect

Talent Inspire Consulting; Mumbai; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

A dynamic consulting firm in Mumbai is seeking a Generative AI Architect to design and scale next-generation AI solutions for global enterprises. The ideal candidate will have 12–15 years of experience in technology and architecture, including 5+ years in AI/ML. Responsibilities include defining GenAI architectures and integrating capabilities with ERP and CRM platforms. This role demands strong architectural expertise in cloud-native systems and collaboration with various teams for responsible AI adoption.

Qualifications

• Deep knowledge of AI/ML architecture, APIs, and microservices.
• Strong expertise with LangChain, LlamaIndex, vector databases, orchestration tools.
• Hands-on with Azure AI, AWS AI, and GCP AI ecosystems.

Responsibilities

• Define and implement enterprise-grade GenAI reference architectures.
• Design scalable AI solutions with LLMs, RAG, and agent frameworks.
• Integrate GenAI capabilities with ERP, CRM, and analytics platforms.

Skills

AI/ML architecture

LangChain

LlamaIndex

Azure AI

AWS AI

GCP AI

Data engineering

Cybersecurity

Job description

Employment Type: Full-time

Role Summary

We are seeking a Generative AI Architect to design and scale next-generation AI solutions for global enterprises. This role demands strong architectural expertise in cloud-native AI systems, enterprise integrations, and advanced GenAI frameworks.

Key Responsibilities

• • Define and implement enterprise-grade GenAI reference architectures
• • Design scalable AI solutions with LLMs, RAG, and agent frameworks
• • Integrate GenAI capabilities with ERP, CRM, and analytics platforms
• • Collaborate with IT, security, and compliance teams for responsible AI adoption
• • Evaluate emerging tools, frameworks, and cloud platforms
• • Partner with data engineering teams on pipelines, governance, and readiness
• • Establish best practices for MLOps, observability, and AI Ops

Skills & Qualifications

• • Deep knowledge of AI/ML architecture, APIs, and microservices
• • Strong expertise with LangChain, LlamaIndex, vector databases, orchestration tools
• • Hands-on with Azure AI, AWS AI, and GCP AI ecosystems
• • Background in data engineering, ERP (SAP/Oracle), and cybersecurity is a plus
• • Strong ability to align tech strategy with business goals

Experience

12–15 years in technology/architecture, with 5+ years in AI/ML

Proven track record of enterprise AI architecture & solution design