Principal Engineer, AI Architect
Core
Architecting and delivering production-grade Generative AI, LLM, and Agentic AI solutions for enterprise applications.
Role type
Principal Engineer, AI Architect
Builds
Scalable GenAI platforms, RAG pipelines, autonomous agents, and AI-native user-facing applications.
Domain
Enterprise AI, Generative AI, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
System design, Python, Microservices/APIs, Generative AI architecture, LLMs, RAG, Vector databases, Cloud platforms (AWS/GCP/Azure), CI/CD, AI Governance, Technical strategy, Mentoring
Preferred skills
AgentOps, GenAIOps, Knowledge Graphs, Semantic Layer Architecture, AI-assisted development tools
Technologies
Python, FastAPI, Node.js, React, Pinecone, Weaviate, Milvus, AWS, Azure, GCP, Jira, Copilot, Claude Code
Responsibilities
Define technical strategy and architecture for AI-powered applications; Design scalable backend platforms for LLM inference and agent orchestration; Lead implementation of complex GenAI workflows; Establish engineering standards for prompt design and model evaluation; Drive platformization by building reusable components and SDKs; Partner with stakeholders to translate business objectives into technical solutions; Review critical designs and codebases to ensure best practices.
Seniority
Principal, strategy & mentorship
