Nous Infosystems - AI Specialist/Architect

Nous Infosystems; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Nous Infosystems seeks an experienced AI Architect to design secure, scalable enterprise AI/ML and Generative AI architectures across RAG, LLMs, agentic AI, automation, and AI assistants.

You will define reference architectures, governance, roadmaps, and integration with GenAI frameworks. Lead technology integration, architecture reviews, and mentoring of AI teams while aligning with business objectives.

Qualifications

• Proven experience in designing enterprise AI/GenAI architectures.
• Experience with AI governance, Responsible AI and security.
• Ability to translate business requirements into scalable AI solutions.

Responsibilities

• Design and oversee secure, scalable enterprise AI/ML and Generative AI architectures.
• Define AI-powered solutions for enterprise workflows.
• Develop and govern AI reference architectures, roadmaps, and standards.
• Lead GenAI integration across chatbots, document processing, RAG apps and agentic workflows.
• Mentor AI engineers and architects; conduct design reviews.

Skills

Machine Learning

Deep Learning

Generative AI

RAG

LLMs & SLMs

AI Architecture

TensorFlow/PyTorch

LangChain

Azure/AWS

MLOps

Tools

Docker

Kubernetes

CI/CD

Job description

• Design and oversee secure, scalable enterprise AI/ML and Generative AI (LLM/SLM) architectures.
• Define solution architecture for AI-powered applications and enterprise workflows.
• Design architectures covering RAG, LLMs, agentic AI, intelligent automation, and AI assistants.
• Ensure solutions meet requirements around security, scalability, reliability, performance, and cost.
• Define AI reference architectures, technology roadmaps, and engineering standards.
• Establish AI governance frameworks covering Responsible AI, model deployment, security, and compliance.
• Evaluate emerging AI technologies and identify opportunities for enterprise adoption.
• Architect and implement use cases such as :
• Automated document processing
• RAG applications
• Agentic workflows
• Work with LLMs, SLMs, vector databases, embeddings, and semantic search.
• Integrate modern GenAI orchestration frameworks into enterprise solutions.

Job Description

Key Responsibilities

Solution Architecture

• Design and oversee secure, scalable enterprise AI/ML and Generative AI (LLM/SLM) architectures.
• Define solution architecture for AI-powered applications and enterprise workflows.
• Design architectures covering RAG, LLMs, agentic AI, intelligent automation, and AI assistants.
• Ensure solutions meet requirements around security, scalability, reliability, performance, and cost.

AI Strategy & Governance

• Define AI reference architectures, technology roadmaps, and engineering standards.
• Establish AI governance frameworks covering Responsible AI, model deployment, security, and compliance.
• Evaluate emerging AI technologies and identify opportunities for enterprise adoption.

GenAI & Technology Integration

• Architect and implement use cases such as :
• Intelligent chatbots
• Automated document processing
• RAG applications
• Agentic workflows
• Enterprise AI assistants
• Work with LLMs, SLMs, vector databases, embeddings, and semantic search.
• Integrate modern GenAI orchestration frameworks into enterprise solutions.

Technical Leadership

• Establish and contribute to AI Centers of Excellence (CoE).
• Mentor and guide AI Engineers, ML Engineers, Data Scientists, Architects, and MLOps teams.
• Conduct architecture and technical design reviews.
• Define best practices for AI engineering, deployment, monitoring, and optimization.

Consulting & Pre-Sales

• Lead AI discovery and solutioning workshops with customers.
• Support RFP/RFI responses and technical solution proposals.
• Develop AI transformation roadmaps aligned with business objectives.
• Present AI architecture and transformation strategies to senior stakeholders.

Mandatory Skills

AI / ML :

• Machine Learning & Deep Learning
• Generative AI / LLMs / SLMs
• RAG
• AI/ML Solution Architecture
• TensorFlow / PyTorch

GenAI Frameworks

• LangChain
• LangGraph
• Semantic Kernel
• Agentic AI

Cloud & MLOps

• Azure and/or AWS
• Cloud-native AI services
• Docker / Kubernetes
• CI/CD pipelines
• MLOps / LLMOps
• Model deployment and monitoring

Good To Have

• Vector databases
• Knowledge Graphs
• Semantic Search
• Prompt Engineering
• LLM Evaluation
• Responsible AI & AI Governance
• Azure OpenAI / Amazon Bedrock
• Enterprise AI security
• Experience building reusable AI accelerators and frameworks

Preferred Candidate Profile

• 5 - 10 years of overall IT experience with significant hands-on AI/ML architecture experience.
• Proven experience designing and delivering enterprise-scale AI/GenAI solutions.
• Strong understanding of cloud architecture and MLOps.
• Experience leading technical teams and mentoring AI/ML professionals.
• Strong consulting, communication, stakeholder-management, and presentation skills.
• Ability to translate business requirements into scalable AI solutions.

(ref:hirist.tech)