AI Data Architect & Prompt Engineer

Moonfire; Dayton (OH); Presencial; USD 90 000 - 130 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health coverage

Dental & vision

Life insurance

Disability coverage

Retirement match

Paid time off

Tuition reimbursement

Resumo da oferta

Moonfire is seeking a Prompt Engineer to join an agile team that manages a portfolio of systems and explores AI proofs of concept related to data management and enterprise architecture. The role includes documenting AI use-case journeys for clear communication and understanding of limitations across audiences.

You will work with analysts to apply data-driven techniques, reverse-engineer artifacts, and develop ETL routines to curate diverse data sets within an IT services scope.

Qualificações

• 3+ years of experience in data management or AI engineering.
• BS degree required; ability to obtain Secret clearance.
• Experience with Python and AI solution architecture.
• Experience with Agile development methodologies and roles.

Responsabilidades

• Analyze operational activities to obtain a quantitative basis for decisions and resource allocation.
• Conceptually understand and convey data management topics to stakeholders and leadership.
• Collaborate with SMEs to collect and update business and technical metadata.
• Reverse engineer data models and design artifacts to extract and load metadata.
• Review data for quality issues and help fix data backlogs, both current and historical.
• Analyze data and system artifacts to inform business practices.
• Determine how data can be applied to benefit stakeholders.
• Develop ETL routines to load and curate disparate data sets.

Conhecimentos

Python

AI solutions architecture

Context engineering

LLM vendors

Scripting languages

Agile development

Written and verbal communication

Formação académica

BS degree

Ferramentas

Claude Code

StackAI

SQL

Descrição da oferta de emprego

Moonfire is seeking a Prompt Engineer to join an agile team that manages a portfolio of systems and explores AI proofs of concept related to data management and enterprise architecture. The role includes documenting AI use-case journeys for clear communication and understanding of limitations across audiences.

You will work with analysts to apply data-driven techniques, reverse-engineer artifacts, and develop ETL routines to curate diverse data sets within an IT services scope.