Associate Solutions Architect

present of AI; Central (LA); On-site; USD 60,000 - 90,000; Full time

Job summary

Salt Security in the USA-Central region is seeking an entry-level Customer & Solutions professional to support senior architects during customer product trials. You will help set up deployments, build demos, and answer technical questions while explaining API security in clear terms.

This role builds hands-on experience with securing AI agents, MCP connections, and the APIs behind them, and it emphasizes clear, approachable explanations of complex concepts for customers during evaluations.

Qualifications

• 1–3 years in support, IT, engineering or security.
• Working grasp of APIs and cloud.
• Ability to explain technical concepts clearly.

Responsibilities

• Assist senior architects during customer product trials.
• Set up deployments and build demos.
• Explain API security clearly to customers.
• Answer technical questions during evaluations.

Skills

API basics

Cloud understanding

Communication

Tools

Kubernetes

REST/HTTP

APIs security concepts

Job description

Customer & Solutions · USA - Central · Entry level

This is an early career pre-sales technical role that supports senior architects as they run product trials with customers. The work covers setting up deployments, answering technical questions, building demos and explaining API security in clear terms. A strong candidate has one to three years in support, IT, engineering or security, a working grasp of APIs and cloud, and the knack for making technical ideas easy to follow.

How it fits the AI era

Companies are connecting AI agents to their systems through APIs and MCP servers, so the thing customers need to protect is growing and changing fast. AI can speed up research, demo prep and documentation, but the job still depends on listening to a customer, judging what they really need and earning trust during an evaluation. Those human parts of the role stay central.

How it builds AI experience

The product focuses on securing AI agents, MCP connections and the APIs behind them, so this role offers close exposure to how agent based systems are built and where they can go wrong. Someone can build a head start by learning how LLMs call tools through APIs, trying a simple MCP server and reading about common API attack patterns.

Worth showing

• REST and HTTP fundamentals
• Kubernetes or container basics
• Clear technical explanations

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Salt Security

AI that, per the company, is trained on billions of API calls and spots attackers probing a company's APIs, and now the AI agents and MCP servers built on top of them.