Gen AI Lead

syncarp โ€ข India
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AI Summary

We are seeking a hands-on Gen AI Lead with 10-14 years of experience in integrating Generative AI solutions into complex enterprise ecosystems. The ideal candidate will have a strong foundation in Data Engineering, Classical Machine Learning, and enterprise architecture. This role requires a strategic and hands-on approach, with the ability to guide customers and teams through large-scale AI transformations.

Key Highlights
Design and integrate Generative AI solutions into existing enterprise environments
Integrate GenAI with legacy systems such as ERP, CRM, and large data platforms
Architect systems using Vector Databases, Graph Databases, and complex SQL-based data stores
Technical Skills Required
Generative AI LLM Data Engineering Classical Machine Learning Vector Databases Graph Databases SQL ETL/ELT Data Modeling Enterprise Architecture
Benefits & Perks
Relocation to Japan after 18 months
Full-time employment

Job Description


๐Ÿš€ Gen AI Lead


๐Ÿ“ Location: Chennai (initial 18 months) โ†’ Relocation to Japan


๐Ÿ’ผ Experience: 10โ€“14 Years


๐Ÿข Employment Type: Full-time


๐Ÿ”น About the Role

We are looking for a Gen AI Lead who is a hands-on architect with deep experience in integrating Generative AI solutions into complex enterprise ecosystems. This role requires a strong foundation in Data Engineering, Classical Machine Learning, and enterprise architecture, along with the ability to guide customers and teams through large-scale AI transformations.

This is a strategic + hands-on role, ideal for professionals ready to work on global programs and relocate to Japan after the initial phase.


๐Ÿ”น Key Responsibilities


  • Design and integrate Generative AI (LLM-based) solutions into existing enterprise environments
  • Integrate GenAI with legacy systems such as ERP, CRM, and large data platforms
  • Architect systems using Vector Databases, Graph Databases, and complex SQL-based data stores
  • Build and manage robust ETL / ELT data pipelines for GenAI use cases
  • Apply Hybrid AI approachesโ€”choosing between Classical ML (Regression, Classification) and GenAI as appropriate
  • Define enterprise data strategies, selecting optimal database technologies (RDBMS, NoSQL, Graph, Cache)
  • Implement data governance, including lineage, PII handling, and access control
  • Design event-driven architectures and multi-agent orchestration frameworks
  • Lead integration testing, regression testing, and QA strategies
  • Act as a trusted architectural advisor to customers and internal stakeholders


๐Ÿ”น Required Skills & Experience


  • 10โ€“14 years of overall IT experience
  • Minimum 1โ€“2 years in an Architect role
  • Strong experience in Generative AI & LLM integration
  • Solid Data Engineering background (ETL/ELT, pipelines, data modeling)
  • Good understanding of Classical Machine Learning techniques
  • Experience working with enterprise-scale, complex systems
  • Strong communication and customer-facing skills
  • Willingness to relocate to Japan after 18 months (mandatory)


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