Nous Infosystems - Generative AI Solution Architect

Generative AI Solutions Architect

Location : Bengaluru

Experience : 8 - 12 Years

Work Mode : Hybrid / On-site

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.

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)