Technical AI Requirements Systems Engineer

Description

Markon is seeking an experienced Technical AI Requirements Systems Engineer to support an a customer in the Annapolis Junction, MD area. This role will focus on defining technical requirements, supporting system design, and integrating AI-enabled capabilities into mission-critical enterprise applications. The position will work closely with customers, systems engineers, software developers, and technical stakeholders to translate mission needs into actionable requirements, support Agile development, and ensure successful implementation and testing of new capabilities.

Responsibilities

• Collaborate with customers and technical stakeholders to gather, analyze, and document functional and technical requirements for enterprise applications.

• Translate high-level mission requirements into detailed technical specifications, Jira user stories, and development epics.

• Support the planning, design, development, and integration of AI-enabled capabilities within existing software architectures.

• Work closely with systems engineers, software developers, and AI specialists to ensure requirements are accurately implemented and validated.

• Conduct functional testing and validation of application features to ensure alignment with technical requirements and mission objectives.

• Evaluate potential AI solutions, integration approaches, and technical tradeoffs to support system design decisions.

• Participate in Agile development activities, including sprint planning, backlog refinement, requirements reviews, and testing.

• Identify opportunities to incorporate emerging AI and machine learning technologies into enterprise applications.

• Develop and maintain technical documentation, requirements artifacts, and system integration materials.

• Communicate technical recommendations, implementation considerations, and project status to technical and non-technical stakeholders.

Qualifications

• Active TS/SCI clearance with Polygraph required.

• Experience in systems engineering, technical requirements analysis, or software development supporting enterprise applications.

• Familiarity with Java or JavaScript frameworks, RESTful microservices, and cloud-based architectures.

• Experience with Amazon Web Services (AWS) and cloud-based application deployment.

• Experience gathering, analyzing, and documenting functional requirements and translating them into technical specifications.

• Experience developing Jira user stories, epics, and acceptance criteria for software development teams.

• Experience conducting functional testing and validating software features against documented requirements.

• Understanding of AI and machine learning technologies and their potential applications within enterprise systems.

• Experience collaborating with software developers, systems engineers, and technical stakeholders throughout the development lifecycle.

• Strong analytical, problem-solving, technical writing, and communication skills.

Desired Qualifications

• Experience developing technical requirements and system design documentation for AI-enabled applications.

• Familiarity with AI architectures, model performance evaluation, and system integration considerations.

• Experience supporting the design, development, and deployment of AI-driven solutions within existing enterprise architectures.

• Knowledge of emerging AI and machine learning technologies and their practical applications.

• Experience evaluating technical tradeoffs and recommending AI integration approaches.

• Experience supporting Agile software development in Intelligence Community environments.

Work Arrangement: Up to one day of telework per week, subject to customer approval.

Salary RangeUSD $160,000.00 - USD $185,000.00 /Yr.The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.