Responsible AI Engineer

Job Title

The job title is not provided in the raw HTML. Job Description

Helps translates responsible artificial intelligence expectations into specific technical requirements and implementation approaches that can be applied to AI-enabled systems operating in development, test, and production environments.

Recommends or develops engineering patterns for safe integration of AI into operational environments, including guardrails for user interaction, logging, monitoring, workflow constraints, and controls on model-driven outputs.

Assesses AI-enabled systems to determine whether the technical safeguards, evaluation evidence, and operational conditions are adequate for use.

Communicates technical findings to leadership, governance stakeholders, and engineering teams in a form that supports approval decisions, remediation plans, sustainment reviews, and continued oversight of deployed AI capabilities.

Works with developers, AI engineers, machine learning engineers, software engineers, cybersecurity personnel, and program stakeholders to ensure that needed evidence is created and retained as part of the system lifecycle.

Serves as the senior technical advisor on responsible AI assurance, control implementation, evaluation methods, and AI-related risk treatment across DLA AIACoE efforts and supported organizations.

Develops, updates, and maintains standards, playbooks, implementation guides, technical references, and training materials supporting responsible AI engineering, assurance, evaluation, documentation, and governance implementation across DLA.