Senior AI Automation Engineer
RemoteColombia or Costa Rica
Job Summary
Lead the design and implementation of AI, automation, and enterprise application solutions across finance and treasury technology environments. Drive end-to-end automation initiatives and AI-enabled workflows to improve operational efficiency and decision-making. Architect scalable enterprise applications and integration frameworks using APIs, middleware, and event-driven architectures. Build automation for data ingestion, validation, transformation, reconciliation, and financial posting processes while implementing AI governance, model auditability, and risk control practices. Collaborate with Finance, Treasury, Accounting, and business stakeholders to identify automation opportunities and optimize business processes. Define target-state architectures and recommend improvements across finance and enterprise platforms. Requires 5-7 years of experience with Python, Generative AI, and financial data. Remote positions available in Costa Rica, Peru, Colombia, and Bolivia.
Required Qualifications
- 5-7 years of experience as an AI Engineer, Automation Engineer, Machine Learning Engineer, or related role
- Strong experience with Python development and automation frameworks
- Experience working with financial data or within financial services environments
- Hands-on experience designing and implementing Generative AI and Machine Learning solutions
- Experience developing AI-powered automation tools and intelligent workflow solutions
- Experience designing AI-enabled business processes using LLMs, copilots, intelligent agents, or similar technologies
- Strong understanding of prompt engineering, AI orchestration, governance, auditability, and risk controls
- Experience designing API-based integrations, middleware solutions, and event-driven architectures
- Knowledge of data pipelines, ETL/ELT processes, data quality controls, and data governance frameworks
- Strong analytical, communication, and problem-solving skills
Desired Qualifications
- Experience with Azure OpenAI, Copilot Studio, or similar GenAI platforms
- Experience with workflow orchestration platforms such as Power Automate, Control-M, or similar tools
- Experience with RPA platforms such as UiPath or Automation Anywhere
- Familiarity with observability, monitoring, alerting, and telemetry solutions
- Experience with financial close automation, reconciliation processes, and treasury systems
- Exposure to enterprise finance platforms such as D365 Finance & Operations, OneStream, GTreasury, IVP EAS, or WSO
- Knowledge of Data Quality, Master Data Management (MDM), and data governance best practices
- Experience within private credit, asset management, or financial services organizations
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