AI Architect

Coforge; Dadri; On-site; INR 3,000,000 - 7,000,000; Full time

Job summary

Coforge is seeking an experienced AI Architect to lead the design and implementation of GenAI, LLM-based, and agentic AI solutions for enterprise applications. You will define scalable AI platforms, drive AI governance, and collaborate with data scientists, engineers, and business stakeholders to deliver AI-powered transformations.

You will build multi-agent systems, integrate AI with cloud platforms, and evaluate model performance, monitoring, and security to ensure reliable, scalable

Qualifications

• Deep expertise in Python, GenAI, LLMs, and Agentic AI frameworks.
• Experience architecting scalable AI platforms for enterprise solutions.
• Ability to mentor AI engineers and data scientists.

Responsibilities

• Define and drive the overall AI and GenAI architecture strategy for enterprise solutions.
• Design and implement scalable AI/ML, Generative AI, and Agentic AI frameworks.
• Build intelligent multi-agent systems capable of autonomous reasoning, planning, orchestration, and task execution.
• Architect and deploy LLM-based applications using modern AI frameworks and platforms.
• Design Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management and search.
• Lead solution design discussions and provide technical guidance to development teams.
• Develop AI-powered applications using Python and modern AI libraries.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Establish AI governance, security, scalability, and responsible AI best practices.
• Define model evaluation, monitoring, observability, and performance optimization frameworks.
• Mentor AI engineers, data scientists, and development teams on emerging AI technologies.
• Stay current with advancements in GenAI, Agentic AI, multimodal AI, and autonomous systems.

Skills

Python

GenAI

LLMs

Agentic AI

Job description

We are seeking an experienced AI Architect with deep expertise in Python, Generative AI (Gen AI), Large Language Models (LLMs), and Agentic AI frameworks to lead the design and implementation of next-generation AI solutions. The ideal candidate will be responsible for architecting scalable AI platforms, defining AI strategies, and delivering enterprise-grade solutions that leverage Gen AI, Agentic AI, machine learning, and cloud technologies.

The candidate will work closely with business stakeholders, data scientists, engineering teams, and solution architects to drive AI-led innovation and accelerate digital transformation initiatives.

Key Responsibilities

• Define and drive the overall AI and GenAI architecture strategy for enterprise solutions.
• Design and implement scalable AI/ML, Generative AI, and Agentic AI frameworks.
• Build intelligent multi-agent systems capable of autonomous reasoning, planning, orchestration, and task execution.
• Architect and deploy LLM-based applications using modern AI frameworks and platforms.
• Design Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge management and search.
• Lead solution design discussions and provide technical guidance to development teams.
• Develop AI-powered applications using Python and modern AI libraries.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.
• Establish AI governance, security, scalability, and responsible AI best practices.
• Define model evaluation, monitoring, observability, and performance optimization frameworks.
• Mentor AI engineers, data scientists, and development teams on emerging AI technologies.
• Stay current with advancements in GenAI, Agentic AI, multimodal AI, and autonomous systems.