Prompt Engineer

About the role

The Prompt Engineer will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for exploring and developing AI proofs of concept as they pertain to data management and enterprise architecture.

This position is a collaborative role that provides support for analysis and research into our team- and enterprise-wide processes. This position is also responsible for documenting AI use case journeys so that they can be adequately articulated to all audiences and so that limitations are understood.

The Prompt Engineer will work within an agile team to provide high-quality service to our customers by applying analytical techniques to determine solutions based on client requirements within an IT services/solutions scope.

They will analyze and reverse-engineer business and technical artifacts, such as data models, data catalogs, design documentation, and interfaces, to capture, store, and maintain relevant metadata for the systems within the portfolio.

Responsibilities

• Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation
• Conceptually understand and convey to stakeholders and leadership complex topics related to data management, data governance, and data maturity
• Work with subject matter experts (SME) across organizations to collect and update business and technical metadata
• Reverse engineer data models and other design or build artifacts to extract relevant business and technical metadata and load into a metadata repository
• Review submitted data to detect data quality problems and anomalies, and help the organization correct data: both current and historical
• Collects and analyzes data and associated system artifacts for stakeholders to use in perfecting their business practices
• Performs analysis to determine how data might best be applied to benefit the stakeholders
• Develops ETL routines to load and curate disparate data sets

Qualifications

• Years of Experience: 3+
• Education Level: BS
• Clearance Requirements: Must be able to obtain a Secret Clearance
• Any other work-related qualifications needed for the role:
• Experience with Python
• Experience architecting AI solutions
• Experience in context engineering
• Experience with multiple LLM vendors and their models
• Experience in one or more scripting languages
• Excellent written and verbal communications
• Experience with Agile development methodologies and roles
• Qualifications considered a plus
• Experience using SQL for data analysis, data quality, and data profiling activities
• Experience creating data mapping documentation for databases, interfaces and applications
• Experience with AF Logistics systems and data
• Experience in requirements elicitation
• Experience with StackAI
• Experience in developing RAG solutions
• Experience with agentic development frameworks (e.g., Claude Code)
• Experience in Information Management, including data design, data transformation, data governance or other major DAMA DMBOK or industry-recognized data management practice
• Experience in working with and defining data
• Experience with enterprise architecture frameworks (e.g., DoDAF, UAF)
• Logical thinker; able to articulate thoughts both verbally and diagrammatically

Benefits

Eligible full-time employees receive a comprehensive benefits package, including medical, dental, vision, life and disability coverage, retirement savings with company match, and paid time off. Additional benefits include voluntary supplemental benefits, access to an employee assistance program, and educational assistance with tuition reimbursement.