Senior AI Systems Engineer (TS/SCI) | Cloud & Java

Belay Technologies; Maryland; On-site; USD 105,000 - 240,000; Full time

Benefits offered by this job

8 weeks paid leave

401(k) matching 10%

Tuition reimbursement $5,000

Student Loan Repayment Program

Company-funded HSA

Rich medical coverage

Dental coverage including orthodontia

Life insurance up to $420,000

Team events and more

Job summary

Belay Technologies seeks a System Engineer (AI) to join our intel team, supporting TO-005, Report Authoring and Dissemination, and oversee planning, design, and implementation of a mission-critical system. You will work with customers, system engineers, developers, and AI stakeholders to ensure capabilities are defined, built, tested, and delivered.

The role requires hands-on execution, low-level requirements definition, and functional validation for an enterprise AI-enabled application, in an

Qualifications

• Experience with Java or JavaScript frameworks, RESTful microservices, and AWS cloud deployment.
• Ability to elicit, analyze, and document functional requirements and translate into technical specs.
• Translate high-level requirements into Jira user stories and epics for development teams.

Responsibilities

• Collaborate with customers, engineers, and AI stakeholders to define, test, and deliver mission-driven software.
• Present AI approaches and tradeoffs to technical and non-technical stakeholders.
• Engage with development teams to validate features and ensure correct low-level requirements.

Skills

Java/JavaScript

RESTful microservices

Requirements elicitation

Jira user stories

Functional testing

Technical liaison

Education

Bachelor's degree

Tools

AWS

Job description

Belay Technologies seeks a System Engineer (AI) to join our intel team, supporting TO-005, Report Authoring and Dissemination, and oversee planning, design, and implementation of a mission-critical system. You will work with customers, system engineers, developers, and AI stakeholders to ensure capabilities are defined, built, tested, and delivered.

The role requires hands-on execution, low-level requirements definition, and functional validation for an enterprise AI-enabled application, in an