Security Engineer, AI Platform Engineering

Saronic Technologies • Austin, TX

2d

About The Position

Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. 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 every department. You’ll partner with teams across the company to understand what they’re trying to accomplish, teach them to use AI effectively and safely, and build the solutions that need real engineering, security guardrails, and proper hosting. This is an opportunity to define how an entire company uses AI safely, and own AI governance and security from the ground up, and build AI applications that make every department more capable. How we think about building with AI. Anyone can make a demo now. A good-looking front end is nearly free, AI will generate a slick dashboard from a one-line prompt, and it will look impressive in a meeting. That is the easy part. The real skill, and what this role is about, is using AI to build robust backends, infrastructure, and integrations, wired to real data and real systems, that reliably solve a business problem in production. We hire people who can tell the difference between something that looks like it works and something that works, and who are drawn to the second.

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 with observability, evals, and graceful failure handling
• 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

Nice To Haves

• Experience with AI governance, DLP, monitoring/logging, or guardrails for AI usage
• Building and hosting AI solutions in the cloud
• A security background (application, cloud, or data protection)
• Experience teaching, enabling, or supporting non-technical teams

Responsibilities

• 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, for properly hardened, compliant, well-hosted, secure-by-default solutions, so departments don’t ship insecure ad-hoc vibe-coded tools themselves.
• Teach teams to use AI safely and effectively for their own work, and set company-wide standards for good, safe AI usage.
• 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.
• 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.
• Build agents and workflows that actually work, design tool use and MCP integrations, manage context and memory, and validate quality with evaluative loops.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed