Technical AI Requirements Systems Engineer (Mid/Senior) (Hybrid) - Java/JavaScript/AI/ML

Captivation Software • Annapolis Junction, MD

3d • $130,000 - $270,000 • Hybrid

About The Position

Captivation Software has an immediate need for a Technical AI Requirements Systems Engineer to support the program and assist 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 active participation in Agile delivery throughout 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.

Requirements

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph.
• All candidates must be a U.S. citizen.
• Bachelor’s degree from an accredited college or university.
• At least five years of experience performing in a Lead System Engineer role for a software development team.
• Familiarity with software development using Java or JavaScript frameworks.
• Familiarity with RESTful microservices.
• Familiarity with 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.

Nice To Haves

• Master’s degree can be substituted for two (2) years experience.
• 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

• Overseeing the planning, design, and implementation of a mission-critical system.
• Working directly with customers, systems engineers, developers, and AI solution stakeholders to ensure mission-driven software capabilities are accurately defined, built, tested, and delivered.
• Engaging tactically with the development team, close collaboration with stakeholders, and active participation in Agile delivery throughout development lifecycle.
• Performing hands-on technical execution, low-level requirements definition, and functional validation of new features for an enterprise application integrating AI-enabled capabilities.
• Eliciting, analyzing, and documenting detailed functional requirements and converting them into technical specifications.
• Translating high-level requirements into actionable Jira user stories and epics for development teams.
• 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.
• Presenting and articulating recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
• Identifying practical opportunities to apply emerging AI/ML capabilities to enterprise applications.
• Evaluating AI architectures, assessing model performance, and identifying 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.

Benefits

• Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
• Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
• Above Market Hourly Rates
• $3,600 HSA Contribution
• 6 Weeks Paid Time Off
• Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level