Nous Infosystems - Generative AI Solution Architect

Nous Infosystems; Bengaluru; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Nous Infosystems is seeking an experienced Generative AI Solutions Architect to design, build, and deploy enterprise-grade GenAI and AI/ML solutions from Bengaluru, India. You will lead architectures and mentor teams, shaping AI capabilities across the business.

Expect to define AI roadmaps, implement RAG-based apps, leverage LLMs, vector stores, and cloud platforms, and collaborate with stakeholders to drive enterprise AI transformation.

Qualifications

• Strong experience designing and delivering enterprise AI/GenAI solutions.
• Proven experience building RAG and LLM-powered applications.
• Strong understanding of cloud-native AI architectures.
• Excellent technical leadership and mentoring capabilities.
• Strong communication and stakeholder-management skills.

Responsibilities

• Design and implement enterprise-grade Generative AI and AI/ML solutions.
• Define AI strategies, roadmaps, and reference architectures.
• Architect and develop scalable RAG-based AI applications.
• Design solutions using LLMs, vector databases, embeddings, and semantic search.
• Evaluate and integrate appropriate AI/ML and cloud technologies.
• Provide technical guidance on Python, ML/DL, LLM, and GenAI frameworks.
• Mentor and guide AI Engineers, ML Engineers, Data Scientists, and development teams.
• Drive architecture and technical design reviews.
• Optimize AI solutions for accuracy, performance, scalability, security, and cost.
• Collaborate with business, product, data, and engineering stakeholders to translate requirements into AI solutions.
• Evaluate emerging technologies in Generative AI, Agentic AI, and LLM ecosystems.
• Establish best practices around AI engineering, deployment, monitoring, and responsible AI.

Skills

Generative AI / LLMs

Python

RAG

Vector Databases

LangChain

Hugging Face

Machine Learning / Deep Learning

TensorFlow

PyTorch

Cloud platforms - AWS / Azure / GCP

AI/ML Solution Architecture

Tools

LangChain

Hugging Face

TensorFlow / PyTorch

AWS / Azure / GCP

Job description

Job Description

We are looking for an experienced Generative AI Solutions Architect to design, build, and deploy enterprise-grade Generative AI and AI/ML solutions. The ideal candidate should have strong expertise in LLMs, RAG, Python, AI/ML frameworks, cloud platforms, and modern GenAI architectures, along with experience providing technical leadership to engineering teams.

Location

Bengaluru

Experience

8 - 12 Years

Work Mode

Hybrid / On-site

Key Responsibilities

• Design and implement enterprise-grade Generative AI and AI/ML solutions.
• Define AI strategies, technology roadmaps, and reference architectures.
• Architect and develop scalable RAG-based AI applications.
• Design solutions using LLMs, vector databases, embeddings, and semantic search.
• Evaluate and integrate appropriate AI/ML and cloud technologies.
• Provide technical guidance on Python, ML/DL, LLM, and GenAI frameworks.
• Mentor and guide AI Engineers, ML Engineers, Data Scientists, and development teams.
• Drive architecture and technical design reviews.
• Optimize AI solutions for accuracy, performance, scalability, security, and cost.
• Collaborate with business, product, data, and engineering stakeholders to translate requirements into AI solutions.
• Evaluate emerging technologies in Generative AI, Agentic AI, and LLM ecosystems.
• Establish best practices around AI engineering, deployment, monitoring, and responsible AI.

Mandatory Skills

• Generative AI / LLMs
• Python
• RAG
• Vector Databases
• LangChain
• Hugging Face
• Machine Learning / Deep Learning
• TensorFlow / PyTorch
• Cloud platforms - AWS / Azure / GCP
• AI/ML Solution Architecture

Good To Have

• Agentic AI / Multi-Agent Systems
• Prompt Engineering
• LLM Evaluation
• MLOps / LLMOps
• Knowledge Graphs
• Semantic Search
• Azure OpenAI / Amazon Bedrock / Google Vertex AI
• Enterprise AI governance and security

Preferred Candidate Profile

• Strong experience designing and delivering enterprise AI/GenAI solutions.
• Proven experience building RAG and LLM-powered applications.
• Strong understanding of cloud-native AI architectures.
• Excellent technical leadership and mentoring capabilities.
• Strong communication and stakeholder-management skills.
• Ability to work with senior leadership and guide enterprise AI transformation initiatives.

(ref:hirist.tech)