Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases
Job Summary
Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases.
Lead the design and implementation of applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, enterprise connectors, and workflow orchestration.
Ensure AI solutions are explainable, reliable, secure, and aligned with regulatory expectations and internal governance policies.
Matching Summary
Architect and oversee AI/ML systems, pipelines, and application platforms for enterprise and engineering use cases.
Skills & Requirements
Must-have
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
agentic systems
workflow orchestration
Transformer architecture
vector databases
enterprise security and privacy
Nice-to-have
open-source model ecosystems
fine-tuning techniques
domain customization
deep-technical domains
mentoring a small technical team
Key Requirements
Bachelor’s or master’s degree
14+ years of experience in software engineering, AI engineering, or ML systems
4+ years in LLM / Generative AI application development
Hands-on experience with Python, Pyspark, React, Node.js, Flask
Proven experience architecting and delivering production-grade AI applications
Experience with frameworks such as LangChain, LangGraph, LlamaIndex
Experience with vector databases and retrieval systems