AI Architect

TENEX.AI

3d • Hybrid

About The Position

As an AI Architect at TENEX, you will be a key technical leader responsible for defining the architecture, design, and execution of our scalable, high-performance AI systems. You will play a crucial role in shaping the technical vision of our AI-driven cybersecurity solutions, ensuring they are reliable and scale to handle billions of security events. You will remain deeply hands-on, leading cross-functional design, making key technical decisions, and mentoring senior engineers.

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 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.
• Exceptional communication, presentation, and negotiation skills, with the ability to articulate technical strategy to executive leadership and external stakeholders.
• Strong strategic thinking and analytical skills to solve complex business and technical problems.
• Proven ability to mentor, inspire, and grow senior technical talent and leadership within the organization.
• A strong passion for cybersecurity and a commitment to building security-first systems and automation.
• Clear, concise communication skills and a bias for collaborative problem-solving.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice To Haves

• Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR) or a related domain/MSSP environment.
• Experience with graph databases or security-focused knowledge graphs.
• Familiarity with cloud infrastructure security (AWS, GCP, or Azure) and DevOps practices.
• Experience leading engineering efforts for both backend services and complex single-page applications (SPAs) or data visualization tools.
• Experience with large-scale data processing and stream processing (e.g., Kafka).
• Background leading technical initiatives in high-growth startups or enterprise SaaS.
• Relevant certifications (e.g., AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.

Responsibilities

• Set Technical Strategy & Vision: Oversee the design and architecture of scalable, reliable, and secure systems that power our 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.
• Design & Build the AI Layer: 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: AI systems—from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
• Own Operational Excellence & Reliability: Oversee cross-cutting concerns like observability, reliability, performance, security, and operational excellence in production environments operating on billions of security events.
• Collaborate Cross-Functionally: 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, translating business needs into robust architectural requirements.
• Foster Innovation: Experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to maintain a competitive advantage and keep our defenders decisively ahead.
• Technical Mentorship: Mentor and influence engineering teams on best practices in cloud architecture, reliability, and security-first development.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level