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Specialized LLM and finance CPM skillset yields lower applicant competition despite mid-level title.
Requires both LLM engineering and deep EPM/CPM finance domain expertise, limiting transferability.
Explicit 3+ years, 1+ year LLM experience, finance systems expertise and mandatory integrations enforce strict filtering.
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Develop and deploy AI-powered agents and automated workflows that integrate with clients' EPM/CPM systems to enhance financial processes such as variance analysis, forecasting, and close reporting.
Embed directly with client finance teams to identify automation opportunities, translate business needs into AI solutions, and manage full lifecycle of agent development including prototyping, testing, deployment, and monitoring.
Contribute to the creation of reusable AI agent frameworks and maintain quality standards ensuring reliability, auditability, and compliance in financial AI applications.
Bachelor’s degree in Computer Science, Engineering, Data Science, Finance, or related field.
Minimum 3 years of software engineering experience with at least 1 year focused on AI agents, large language models, or intelligent automation.
Proficient in Python and experienced with LLM orchestration frameworks (e.g., LangChain, Anthropic API), SQL, and financial system integrations.
Willingness to travel up to 50–80% to client sites; role not eligible for immigration sponsorship; hybrid US office-based role with remote 2 days/week.
Experienced in applying AI/ML technologies specifically to financial systems and workflows, demonstrating understanding of financial processes like budgeting, forecasting, and reporting.
Capable of working closely with senior finance stakeholders (CFOs, controllers, FP&A teams) to translate financial domain requirements into scalable AI-driven solutions.
Skilled in building production-grade, auditable AI systems with guardrails for accuracy, explainability, and compliance in regulated financial environments.