TENEX.AI

AI Architect

TENEX.AI

full-time

Posted on:

Location Type: Hybrid

Location: California • Florida • United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudDockerGoGoogle Cloud PlatformGRPCJavaKubernetesMicroservicesNoSQLPythonRustSQLTypeScript

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGoRustJavaTypeScriptmicroservices architecturecontainerizationAPI designdata modelingcloud architecture
Soft Skills
mentoringinfluencingcollaborationcommunicationproblem-solving
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Science