Job Summary

We are looking for an experienced AI Lead / AI Architect with strong expertise in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).

The ideal candidate should have proven experience designing, developing, and deploying enterprise-grade AI solutions, building scalable AI architectures, and leading technical teams.

Key Responsibilities

- Design and architect end-to-end AI/ML and Generative AI solutions.
- Develop and deploy Machine Learning, Deep Learning, NLP, and LLM-based applications.
- Build Retrieval-Augmented Generation (RAG) solutions using LangChain and vector databases.
- Lead AI solution development from data collection and model training through validation and production deployment.
- Design scalable AI/ML pipelines and integrate models into enterprise applications.
- Develop AI-powered SaaS applications, intelligent automation, and predictive analytics solutions.
- Collaborate with business stakeholders to translate requirements into AI solutions.
- Mentor AI engineers and data scientists, providing technical guidance and architectural direction.
- Work with cloud platforms such as AWS, Azure, or GCP for AI model deployment.
- Ensure AI solution performance, reliability, scalability, and security.

Mandatory Technical Skills





- Solid hands-on experience in Python and Machine Learning.
- Deep Learning, NLP, and Statistical Modeling.
- Generative AI, LLMs, RAG, and Prompt Engineering.
- LangChain or similar LLM orchestration frameworks.
- AI/ML solution architecture and end-to-end deployment.
- Cloud platforms: AWS / Azure / GCP.
- Data processing using SQL, PySpark, or related technologies.
- Experience leading AI/ML development teams.
- Strong communication, problem-solving, and stakeholder management skills.

Good to Have

- Vector databases, embeddings, and semantic search.
- MLOps, model monitoring, CI/CD, and Docker/Kubernetes.
- AI-powered SaaS application development.
- Experience with forecasting, predictive analytics, and data visualization.
- Research background or published AI/ML work.
- Power BI, Tableau, Hadoop, and distributed data processing.

Candidate Preference

- 8-12 years of overall IT experience with significant hands-on AI/ML experience.
- Previous experience as AI Lead, AI Architect, GenAI Architect, Principal AI Engineer, or ML Lead.
- Candidates who have independently designed and delivered production AI solutions.
- Immediate joiners or candidates available by 10 November 2026.
- Bangalore candidates preferred; Coimbatore candidates also considered.

📌 AI Lead / AI Architect GenAI & Machine Learning (Bengaluru)
🏢 Ddai Tech
📍 Bengaluru