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

Belay Technologies

Maryland

On-site

USD 105,000 - 240,000

Full time

15 hours ago
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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

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