Tenex.AI, Inc logo

AI Architect

Job Overview

Location

Remote, USA

Job Type

Full-time

Category

Software Engineering

Date Posted

April 17, 2026

Full Job Description

đź“‹ Description

  • • As an AI Architect at Tenex.AI, you will be a key technical leader responsible for defining the architecture, design, and execution of scalable, high-performance AI systems that power the company’s AI-native Managed Detection and Response (MDR) platform, directly contributing to enhanced cybersecurity posture for clients through advanced threat detection and automated response.
  • • You will set technical strategy and vision for systems handling petabytes of security data and billions of daily events, design and build the AI layer including large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines, and own evaluation, reliability, and operational excellence in production environments.
  • • Tenex.AI is a fast-growing, well-funded AI-native cybersecurity startup backed by top-tier investors including Andreessen Horowitz, Crosspoint Capital, and Shield Capital, with a mission to revolutionize MDR through automation and AI; you’ll join as an early employee to help shape culture and technology from the ground up.
  • • In this role, you will lead cross-functional collaboration with Product, Detection Engineering, and Customer Success teams, mentor senior engineers on cloud architecture and security-first practices, and drive innovation in retrieval-augmented generation, tool-calling agents, and multi-modal models to maintain a competitive edge in cybersecurity AI.

🎯 Requirements

  • • 10+ years of progressive experience in software development, with significant experience in a dedicated Software Architect or Principal Engineering role.
  • • Deep technical expertise in designing scalable, distributed, production-grade systems using modern languages (Python, Go, Rust, Java, TypeScript), including microservices, containerization (Docker, Kubernetes), event-driven systems, and API design (REST/gRPC).
  • • Extensive experience with cloud architecture (AWS, GCP, or Azure) and large-scale data processing, analytics, and high-volume transaction systems.
  • • Deep knowledge of LLM architecture, prompt engineering, vector databases, and hands-on experience building AI agents, orchestration frameworks (LangChain/LangGraph, Agno AGI), and evaluation harnesses in security-focused environments.
  • • Proven ability to mentor, inspire, and grow senior technical talent, with exceptional communication and strategic thinking skills to articulate technical vision to executives and stakeholders.
  • • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

🏖️ Benefits

  • • Opportunity to join an early-stage, well-funded startup with limited risk and unlimited upside as a foundational team member shaping culture and technology.
  • • Hybrid work model: onsite Monday–Thursday in San Jose, CA, Sarasota, FL, or Kansas City, MO; remote on Friday.
  • • Exposure to cutting-edge AI technologies including LLMs, RAG, graph-based reasoning, and multi-modal models applied to real-time cybersecurity at scale.
  • • Collaboration with industry experts and top-tier investors in a mission-driven environment focused on revolutionizing AI-native MDR.
  • • Professional growth through technical leadership, mentorship, and ownership of end-to-end AI system reliability, performance, and security in production.
  • • Potential for equity and competitive compensation typical of venture-backed startups in high-growth cybersecurity and AI sectors.

Skills & Technologies

Python
TypeScript
Java
Rust
AWS
Senior
Remote
Degree Required

Ready to Apply?

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Tenex.AI, Inc
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About Tenex.AI, Inc

Tenex.AI is a cybersecurity company that offers an AI-native managed detection and response (MDR) platform. It combines automated threat detection, risk management, and incident response capabilities with human oversight to identify, contain, and remediate security incidents in real time. Tenex integrates with cloud and security stacks from providers like Google, Microsoft, and others to reduce response times and streamline operations.

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