AI Engineer

• Design and deploy agentic AI solutions that automate complex audit, risk, compliance, and internal-control testing workflows.
• Build AI harnesses supporting reusable skills, tool execution, persistent context, workflow state, recovery, and traceable execution.
• Develop modular agent skills and integrate them with APIs, databases, document repositories, enterprise applications, and GRC platforms.
• Automate audit evidence collection, document analysis, sampling, control validation, exception detection, and source traceability.
• Implement evaluation frameworks, monitoring, access controls, approval gates, human-review checkpoints, and secure agent execution.
• Measure solution accuracy, consistency, performance, and cost while documenting architecture, operations, and technical limitations.

• 5 years or more building and deploying production-grade agentic AI applications and AI orchestration frameworks.
• Proficiency in Python, TypeScript, API integration, backend development, tool calling, structured outputs, and agent state management.
• Experience with Azure compute and storage, Google Gemini LLMs, and Gemini Enterprise Agent Platform.
• Experience in AI harness development, reusable agent skills, workflow orchestration, context management, error recovery, and execution tracking.
• Experience with secure enterprise AI solutions, audit controls, SOX/ITtesting, GRC workflows, evaluation, logging, monitoring, and human oversight.
• Excellent verbal and written communication skills.

Depends on Experience