TwinPacs Sdn Bhd
AI Architect - Generative AI Solution
- Compensation
- Not disclosed
- Location
- Chennai; Coimbatore; Pune; Bangalore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 10+ years
- Category
- Ai engineering
- Posted
Skills
Full description
We're looking for a highly experienced AI Architect to lead the design, development, and deployment of next-generation AI and Generative AI solutions. This is an exciting opportunity to work on large-scale enterprise AI initiatives involving LLMs, RAG architectures, Machine Learning, Deep Learning, and Multi-Cloud platforms.
Job Details :
Role : AI Architect (GenAI) - 10+ Y - Bangalore - Chennai - Coimbatore - Pune - Hybrid - Contract 6M
Notice Period : Immediate Joiners Preferred
Scope Of Work :
- Architect and lead enterprise-scale AI, Machine Learning, and Generative AI solutions.
- Design and implement advanced AI platforms leveraging LLMs, RAG frameworks, vector databases, and intelligent agents.
- Define AI architecture blueprints, technical standards, and best practices across multiple projects.
- Collaborate with business leaders, product teams, data scientists, and engineering teams to translate business requirements into scalable AI solutions.
- Build and optimize AI applications for performance, scalability, security, and governance.
- Drive AI adoption across cloud ecosystems including AWS, Azure, and GCP.
- Lead model deployment, monitoring, MLOps, and production AI lifecycle management.
- Evaluate emerging AI technologies and recommend innovative solutions to accelerate business outcomes.
- Mentor engineering teams and provide technical leadership across AI initiatives.
Key Skills : 1. AI & Generative AI :
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Solution Architecture
- Prompt Engineering
- AI Agents & Autonomous Workflows
- Vector Databases
2. Machine Learning & Deep Learning :
- Machine Learning
- Deep Learning
- NLP & Transformer Models
- Model Training, Fine-Tuning & Optimization
3. Programming & Engineering :
- Python
- API Development
- AI Frameworks (LangChain, LlamaIndex, Hugging Face, etc.)
- Data Pipelines & Model Integration
4. Cloud & Infrastructure :
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)