Enterprise - Systems Engineer - REST, AWS, Jira
Erias Ventures•Annapolis Junction, MD
•Hybrid
About The Position
We are seeking a Technical AI Requirements Systems Engineer to fill an immediate need supporting and assisting with overseeing the planning, design, and implementation of a mission-critical system. Candidates should be passionate about collaboratively solving challenging problems and have a track record of delivering high-quality solutions. Work directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested, and delivered. Engage tactically with the development team, close collaboration with stakeholders, and actively participate in Agile delivery throughout the development lifecycle. Perform hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities. This position allows for partial telework.
Requirements
- A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
- Bachelor's degree in Computer Science or related discipline from an accredited college or university is required; or four (4) years of Software Engineer or equivalent experience may be substituted for a bachelor's degree.
- Familiarity with software development using Java or JavaScript frameworks, RESTful microservices, and Cloud-based architecture and deployment (Amazon Web Services).
- Ability to work directly with customers to elicit, analyze, and document detailed functional requirements and convert them into technical specifications.
- Ability to translate high-level requirements into actionable Jira user stories and epics for development teams.
- Experience conducting functional testing of application features.
- Serving as a key technical liaison, collaborating with cross-functional teams, including system engineers, software developers, and domain experts.
- Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
- Awareness of modern AI/ML advancements and ability to identify practical opportunities to apply emerging capabilities to enterprise applications.
Nice To Haves
- Experience designing or refining technical artifacts specifically for AI integration.
- Ability to evaluate AI architectures, assess model performance, and identify system-level integration tradeoffs.
- Coordinating the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
- Staying current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
Responsibilities
- Work directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested, and delivered.
- Engage tactically with the development team, close collaboration with stakeholders, and actively participate in Agile delivery throughout the development lifecycle.
- Perform hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
- Elicit, analyze, and document detailed functional requirements and convert them into technical specifications.
- Translate high-level requirements into actionable Jira user stories and epics for development teams.
- Conduct functional testing of application features.
- Serve as a key technical liaison, collaborating with cross-functional teams, including system engineers, software developers, and domain experts.
- Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
- Identify practical opportunities to apply emerging AI/ML capabilities to enterprise applications.
- Design or refine technical artifacts specifically for AI integration.
- Evaluate AI architectures, assess model performance, and identify system-level integration tradeoffs.
- Coordinate the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture.
- Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
Benefits
- Above Market Hourly Pay
- 11% Roth or Traditional 401k with Immediate Vesting and Deposit
- Spot Bonuses for Assisting with Business Development and Company Growth
- Professional Development Bonuses for Certificates and Degrees
- Company subsidized Medical Coverage
- 100% Company Paid Vision and Dental Coverage
- 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
- Monthly Wellness Reimbursement
- Paid Time Off with Flexible Work Schedules and Birthday Off
- Amazon Prime Membership and Monthly Internet Reimbursement
- Technology and Productivity Allowance for Equipment and Supplies
- Morale Building and Company Events to Celebrate our Successes and Build our Community
- Onboarding and Annual Swag
- Company Paid Professional Development and Training
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What This Job Offers
Job Type
Full-time
Career Level
Senior
