$120,000–$160,000 Per Year
Finance, Artificial Intelligence (AI), Data Modeling, Risk Modeling, Machine Learning, Information Models, Automation, Corporate Finance, Corporate Planning, Financial Planning and Analysis (FP&A), Interface Programming Languages, Predictive Modeling, Software Agents,
- Deep Financial Expertise: Strong background working within or alongside Corporate Finance, FP&A, Accounting, or Revenue Operations teams, with fluency in GAAP, SaaS metrics (ARR, NRR), three-statement modeling, budgeting processes, and incentive compensation structures.
- AI/ML Engineering Skills: 3+ years of experience building AI-driven applications, with hands-on expertise in Python, SQL, vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex), and prompt engineering.
- Enterprise Systems Experience: Proven experience integrating or configuring platforms such as Workday Adaptive Planning, CaptivateIQ, or Anaplan.
Location & Availability: Based in North America (US/Canada) or Latin America (LATAM) with availability to work within standard US business hours. - Communication Skills: Strong ability to translate technical concepts into clear, actionable insights for non-technical stakeholders and executive audiences.
Preferred Qualifications
- Experience supporting mid-sized technology or B2B SaaS organizations undergoing digital transformation.
- Familiarity with general ledger systems such as NetSuite or Workday, and cloud data platforms including Snowflake, BigQuery, or dbt.
- Prior experience delivering measurable outcomes as a consultant, contractor, or solutions architect.
- Architect Custom Finance AI Solutions: Design, develop, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) frameworks, and intelligent agents to analyze and generate insights from complex financial datasets.
- Systems Integration: Build and manage integration layers, semantic models, and automation workflows connecting AI solutions with enterprise planning and incentive systems such as Workday Adaptive Planning, CaptivateIQ, and Anaplan.
- Automate Financial Narratives & Variance Analysis: Develop workflows that ingest financial results, perform variance analysis against forecasts and budgets, and generate accurate, audit-ready financial commentary.
- Translate Business Logic into Technical Solutions: Partner with Finance leadership to translate complex financial concepts into scalable algorithms and AI-driven workflows using Python and SQL.
- Data Governance & Compliance: Ensure all AI systems adhere to strict data governance standards, including SOC 2 compliance, role-based access controls, and internal data privacy policies for sensitive financial data.
Paid Time-Off, 401K, Medical, Dental, Vision
We are seeking a Finance AI Builder for a high-growth, mid-sized enterprise to support the scaling of data and automation infrastructure across corporate planning, incentive compensation, and operational reporting. This role operates at the intersection of advanced AI architectures and corporate finance, combining technical expertise with deep financial acumen.
The position involves close collaboration with Finance, FP&A, and Revenue Operations teams to design and deploy AI-driven solutions, including intelligent agents, natural language interfaces, and predictive modeling pipelines integrated with core enterprise systems.