AI Systems Engineer for Mission-Critical Cloud Solutions

Belay Technologies, Inc.; Maryland; In loco; USD 150.000 - 230.000; Tempo pieno

Vantaggi offerti da questo lavoro

Paid leave

401k match

Tuition assistance

Student loan repayment

HSA funded

Health insurance

Dental coverage

Life insurance

Gym reimbursement

Pet adoption program

Descrizione del lavoro

Belay Technologies is seeking a Technical AI Requirements Systems Engineer to support TO-005, RAD, and oversee planning, design, and implementation of a mission-critical system in Columbia, Maryland.

The role focuses on translating customer needs into detailed functional requirements, authoring Jira epics, and guiding Agile delivery with cross-functional teams, including engineers and AI stakeholders, to ensure validated, high-quality software with AI-enabled capabilities.

Competenze

• Experience with Java/JavaScript frameworks and RESTful microservices.
• Ability to elicit, analyze and document detailed functional requirements from customers.
• Translate high-level requirements into Jira user stories and epics for development teams.
• Experience conducting functional testing of application features.

Mansioni

• Work with customers, systems engineers, developers and AI stakeholders to define and implement mission-critical features.
• Present AI approaches and tradeoffs to technical and non-technical stakeholders.
• Oversee planning, design and implementation of AI-enabled enterprise software within an Agile lifecycle.

Conoscenze

Java/JavaScript

RESTful microservices

Cloud AWS

Requirements elicitation

Jira user stories

Functional testing

AI/ML awareness

Technical liaison

Strumenti

Jira

Descrizione del lavoro

Belay Technologies is seeking a Technical AI Requirements Systems Engineer to support TO-005, RAD, and oversee planning, design, and implementation of a mission-critical system in Columbia, Maryland.

The role focuses on translating customer needs into detailed functional requirements, authoring Jira epics, and guiding Agile delivery with cross-functional teams, including engineers and AI stakeholders, to ensure validated, high-quality software with AI-enabled capabilities.