Senior AI/ML Architect / GenAI Architect

Role Summary

This engagement focuses on designing enterprise-grade Data and AI solutions for sales, marketing, product research, and other NACG business use cases.

Key Responsibilities

• Review functional documents and translate business requirements into Data, AI, and ML technical requirements.
• Ensure solutions align with long-term production standards and enterprise architecture guidelines at CG.
• Coordinate with cross-functional teams and business stakeholders on feature development, prioritization, and delivery.
• Design and document:
• AI/ML pipelines for data ingestion and integration with orchestration APIs and backend systems.
• Agent-based / Agentic AI workflows and automation systems.
  LLM-powered applications, including prompt engineering and structured outputs.
  RAG solutions, including vector search, embeddings, indexing, and retrieval pipelines.
  Key skills to target
• Generative AI / LLM application architecture
• Agentic AI and agent-based workflows
• RAG, vector databases, embeddings, and indexing
• AI/ML pipelines and API/backend integration
• Enterprise AI architecture and cross-functional solution design