Hybrid AI Architect

at TENEX.AI

• Job title: AI Architect
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, GRPC, Java, Kubernetes, Microservices, NoSQL, Python, Rust, SQL, TypeScript, Go
• Location requirements: Hybrid, United States

About the role

• AI Architect at TENEX crafting secure, scalable AI systems in a remote role. Lead technical strategy and architecture for AI-driven cybersecurity solutions.

Responsibilities

• Oversee the design and architecture of scalable, reliable, and secure systems that power autonomous detection, RAG-backed investigation, and auto-remediation workflows
• Define the technical strategy and architecture for our core platform, ensuring it scales to petabytes of security data and billions of daily events
• Power autonomous detection, RAG-backed investigation, and auto-remediation workflows
• Develop and Productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events
• Own Evaluation & Reliability of AI systems—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies
• Oversee cross-cutting concerns like observability, reliability, performance, security, and operational excellence in production environments
• Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections, and define the technical roadmap
• Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to maintain a competitive advantage
• Mentor and influence engineering teams on best practices in cloud architecture, reliability, and security-first development.

Requirements

• 10+ years of progressive experience in software development
• Deep technical expertise in designing and engineering scalable, distributed, and production-grade systems using modern programming languages (e.g., Python, Go, Rust, Java, or TypeScript)
• Expertise in defining system architecture, microservices architecture, containerization (Docker, Kubernetes), and event-driven systems
• Strong fundamentals in API design (REST/gRPC), data modeling, and database technologies (SQL/NoSQL)
• Experience with large-scale data processing, analytics, and high-volume transaction systems
• Extensive experience with cloud architecture (GCP, AWS, or Azure)
• Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows
• Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses
• Hands-on experience with AI, LLM, and RAG architectures in a security-focused environment, including adversarial testing and mitigation of LLM hallucinations
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Benefits

• Healthcare benefits
• Work-from-home flexibility
• Professional development opportunities