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Saronic

Robot type
Marine and Space · Defense
Location
AustinTexasUSA
Job type
Artificial Intelligence
Posted
Jul 15, 2026
Full-time

Security Engineer, AI Platform Engineering

Job description

Security at Saronic is a force multiplier, not a blocker. AI is being adopted fast across our company, and we’re looking for a Security Engineer for AI Platform Engineering to make AI both safe and self-service. Think of this as a platform and enablement function for AI: you’ll build the paved, secure road so teams don’t have to take the shadow one. You’ll help e peoplacross the business use AI well, put the right guardrails and visibility in place, and build the more complex, well-hosted, secure AI solutions that departments need so great ideas get built properly instead of turning into ungoverned risk and liability.

This is a customer-facing role, and your customers are your colleagues in…

Job responsibilities

  • Enable Departments and Build: Build AI-powered applications, agents, and automations for teams across the company on our cloud platforms, with real backends, infrastructure, and integrations to real data and systems,…
  • Educate & Set Standards: Teach teams to use AI safely and effectively for their own work, and set company-wide standards for good, safe AI usage.
  • Govern: Own AI governance, visibility, and inventory; monitoring and logging of AI usage; and prompt- and output-level data-loss-prevention to protect sensitive data, including customer data.
  • Guardrails: Put guardrails in place for AI usage, treat AI agents as identities with least privilege, govern model and agent access, and make the sanctioned path the best path so “shadow AI” doesn’t take hold.
  • Craft Reliable AI: Build agents and workflows that actually work, design tool use and MCP integrations, manage context and memory, and validate quality with evaluative loops.

Job requirements

  • You’re a genuine AI power user who builds: you’ve shipped agents, tools, or automations with LLMs, and you can walk through the hard parts
  • You build real backends and infrastructure, not just demos: APIs, data pipelines, authentication and secrets, hosting and deployment (containers, Infrastructure-as-Code, CI/CD), and systems integration, made reliable…
  • Fluency with modern agent concepts: agentic loops, agent harnesses, context engineering, tool use / function calling, MCP, and evals
  • Working knowledge of the strengths and weaknesses of different AI models and platforms, and how to match the right model to a task
  • Enough software and security foundation to build and secure production systems, with sound judgment on data handling and safe AI usage
  • Immense kindness and patience for supporting and teaching non-technical users
  • Ability to obtain and maintain a U.S. security clearance
  • We are not looking for degrees or certifications in Artificial Intelligence. We care about what you’ve built and what you can do. Self-taught practitioners and career-changers are welcome;

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