AI Architect – Contractor

Job not on LinkedIn

🕒 6 days ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🔴 Lead

🤖 AI Engineer

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Graphiant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🔒 Cybersecurity

🤝 B2B

💰 Non Equity Assistance on 2024-03

Network as a Service • Cybersecurity • B2B

Graphiant is a technology company that offers Network-as-a-Service (NaaS) solutions for enterprises, focusing on agile and secure connectivity across complex networks. Their services enable businesses to provision, manage, and scale network connections quickly and efficiently, ensuring data governance and security for data in motion. Graphiant aims to simplify networking challenges by providing high-performance, affordable, and fast connectivity solutions that meet the demands of modern business environments.

📋 Description

• Architect and develop AI-powered security solutions for enterprise customers. • 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. • Develop secure, scalable AI architectures that meet enterprise security and governance requirements. • Evaluate emerging AI technologies and define architectural standards and best practices. • 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. • Establish AI governance, model evaluation, and responsible AI practices. • Mentor engineering teams and provide technical leadership on AI architecture and implementation.

🎯 Requirements

• 12+ years of software engineering, platform engineering, or systems architecture experience. • 3+ years building production AI, generative AI, or intelligent automation solutions. • Hands-on experience with OpenAI APIs and/or open-source LLMs. • Experience developing AI agents, multi-agent systems, or agentic workflows using modern orchestration frameworks. • Strong Python development experience with modern API frameworks. • Experience with cloud-native architectures, Kubernetes, distributed systems, and CI/CD automation. • Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field, or equivalent practical experience.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development