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Ddai Tech Llp

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AI Lead / AI Architect GenAI & Machine Learning

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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

  • Strong 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.

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