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Salary
≈ $21k – $44k per year (Estimated)
Location
In office (Chennai)
Seniority
Senior · 12+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 12, 2026. Symphoni HR scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.

We are seeking a seasoned AI Engineer to lead the design and deployment of enterprise-grade artificial intelligence and generative AI solutions. This role involves architecting scalable systems, implementing agentic AI frameworks, and managing the full lifecycle of machine learning models. You will serve as a technical leader, bridging the gap between complex business requirements and high-impact AI implementations.

Our client is a leading global computer software organization known for driving digital transformation through advanced technology solutions. They foster a culture of innovation and technical excellence, supporting large-scale enterprise projects across diverse industries. The company is committed to leveraging cutting-edge research to solve complex business challenges on a global scale.

Responsibilities

  • Design and develop enterprise-grade Generative AI and Agentic AI applications.
  • Build and deploy intelligent assistants, copilots, and automated reasoning frameworks.
  • Implement Retrieval Augmented Generation (RAG) architectures for large-scale knowledge management.
  • Optimize LLM performance, latency, and cost for production-ready environments.
  • Design scalable data pipelines and AI-ready data platforms.
  • Establish MLOps and CI/CD frameworks to ensure model reliability and governance.
  • Lead technical architecture discussions and mentor junior data scientists and engineers.
  • Collaborate with stakeholders to identify and deliver high-value AI use cases.

Requirements

  • 12-15 years of overall IT experience with at least 5 years in AI/ML development.
  • Minimum 3 years of hands-on experience with Generative AI and Large Language Models.
  • Expert-level proficiency in Python and strong experience with Java or Scala.
  • Deep understanding of NLP, Deep Learning, and neural network architectures.
  • Proven experience with cloud platforms, specifically Google Cloud Platform, AWS, or Azure.
  • Strong background in Data Engineering, including Spark, Databricks, and vector databases.
  • Experience implementing MLOps practices using tools like MLflow, Kubeflow, or Docker.
  • Bachelor's or Master's degree in Computer Science, AI, or a related technical field.
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