AI Solution Architect

Nexusnow.ai; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Nexusnow.ai in Bengaluru is seeking an experienced AI Solution Architect to design scalable AI solutions and lead enterprise architecture. The role involves collaborating with stakeholders to implement best practices, evaluating AI models, and guiding teams toward execution. Required skills include deep expertise in AI/ML, experience with Azure platforms, and strong leadership. This position presents a unique opportunity to shape AI architecture while ensuring scalability and security in solutions.

Qualifications

• Strong expertise in AI/ML, Deep Learning, LLMs, and RAG pipelines.
• Experience with Azure AI, Azure OpenAI, or similar cloud platforms.
• Knowledge of model deployment, fine-tuning, and optimization.
• Strong understanding of enterprise architecture & system design.
• Experience with data engineering and distributed systems.
• Excellent leadership and communication skills.

Responsibilities

• Design end-to-end AI architectures aligned with business goals.
• Lead solution design across LLM, RAG, ML, and Deep Learning systems.
• Define AI strategy, architecture roadmaps, and best practices.
• Collaborate with stakeholders, engineering, and product teams.
• Evaluate and select AI models, tools, and cloud services.
• Ensure scalability, security, and cost optimization.
• Guide teams on implementation and architecture governance.

Skills

AI/ML

Deep Learning

LLMs

RAG pipelines

Azure AI

Azure OpenAI

Model deployment

System design

Data engineering

Distributed systems

Leadership

Communication

Job description

Overview

We are seeking an experienced AI Solution Architect to design and lead enterprise-scale AI solutions. You will translate business requirements into scalable, secure, and high-performance AI architectures using modern cloud and GenAI technologies.

Responsibilities

• Design end-to-end AI architectures aligned with business goals
• Lead solution design across LLM, RAG, ML, and Deep Learning systems
• Define AI strategy, architecture roadmaps, and best practices
• Collaborate with stakeholders, engineering, and product teams
• Evaluate and select AI models, tools, and cloud services
• Ensure scalability, security, and cost optimization
• Guide teams on implementation and architecture governance

Required Skills

• Strong expertise in AI/ML, Deep Learning, LLMs, and RAG pipelines
• Experience with Azure AI, Azure OpenAI, or similar cloud platforms
• Knowledge of model deployment, fine-tuning, and optimization
• Strong understanding of enterprise architecture & system design
• Experience with data engineering and distributed systems
• Excellent leadership and communication skills

Preferred

• Experience in multi-agent systems / GenAI frameworks