OPEN ROLE — VIA SYMPHONI HR

Lead AI Engineer.

GurugramHybrid12–15 yearsPosted 2026-09-28

This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.

About the organisation.

We are partnering with a leading global computer software firm known for delivering innovative digital transformation and data-driven solutions. The company operates at a significant scale, fostering a culture of technical excellence and continuous learning. They are currently expanding their advanced technology division to drive next-generation AI initiatives.

About the role.

This role is for a seasoned AI expert to lead the design, development, and deployment of enterprise-grade AI and Generative AI applications. You will be responsible for shaping solution architecture, mentoring high-performing teams, and building autonomous systems that solve complex business challenges. This is a hybrid position focused on delivering scalable, production-ready AI solutions.

What you will do.

  • Design and build enterprise-grade AI and Generative AI applications.
  • Develop and deploy AI assistants, copilots, chatbots, and intelligent automation solutions.
  • Build Agentic AI frameworks for autonomous reasoning, planning, and task execution.
  • Implement Retrieval Augmented Generation (RAG) architectures for enterprise knowledge management.
  • Fine-tune, evaluate, and optimize foundation models and LLMs.
  • Build scalable pipelines for data ingestion, transformation, and feature engineering.
  • Build CI/CD pipelines for AI and ML workloads.
  • Lead AI solution architecture discussions and mentor team members.

What you bring.

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • 12–15 years of overall IT experience.
  • At least 5 years of dedicated AI/ML development experience.
  • At least 3 years of hands-on experience with Generative AI and LLMs.
  • Proficiency in Python, Java, and Scala.
  • Strong experience with Cloud Platforms including Azure, AWS, and Google Cloud Platform.
  • Proven track record of delivering production-grade AI solutions.
  • Expertise in MLOps, Deep Learning, NLP, and Computer Vision.
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