graphiant
AI Architect (Contractor)
United States · Contract
Sponsorship not specifiedDetected 11 days ago
PythonDistributed SystemsVector DatabasesKubernetesCI/CDPlatform EngineeringLLMsRAGAgentic AILangGraphAI OrchestrationCybersecuritySOC OperationsLeadershipCommunicationCollaboration
About the role
- Job Description Enterprise networking is evolving into intelligent, autonomous infrastructure, and Graphiant is leading that transformation.
- This is a highly technical role requiring both strategic architectural leadership and hands-on development.
Responsibilities
- Design and deploy production AI applications using LLMs, agentic AI frameworks, and RAG architectures.
- Build intelligent AI agents that automate security operations, compliance, and customer workflows.
- Collaborate with engineering, product, and security teams to deliver production-ready AI capabilities.
- Design AI orchestration pipelines integrating enterprise data, security telemetry, and knowledge systems.
- Develop secure, scalable AI architectures that meet enterprise security and governance requirements.
- 3+ years building production AI, generative AI, or intelligent automation solutions.
- Experience developing AI agents, multi-agent systems, or agentic workflows using modern orchestration frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
Requirements
- Experience designing secure AI systems for production environments.
- Expertise in agentic AI frameworks, orchestration platforms, and autonomous workflows.
- Strong knowledge of RAG, vector databases, embeddings, semantic search, and enterprise knowledge systems.
- Experience integrating AI with cybersecurity, compliance, and security operations workflows.
- Strong software architecture and distributed systems expertise.
- Ability to balance rapid innovation with enterprise-grade security, governance, and scalability.
- 12+ years of software engineering, platform engineering, or systems architecture experience.
- Hands-on experience with OpenAI APIs and/or open-source LLMs.
- Experience implementing retrieval-augmented generation (RAG), vector databases, embeddings, and enterprise knowledge retrieval.
- Strong Python development experience with modern API frameworks.
Skills
- Evaluate emerging AI technologies and define architectural standards and best practices.
Company info
- Architect and develop AI-powered security solutions for enterprise customers.
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This listing is sourced directly from graphiant's careers page and normalized into a canonical job model.