Job Description & How to Apply Below
What You Will DoAgentic AI & Intelligent Automation Architect and build agentic AI systems that automate finance workflows, including close, consolidations, variance analysis, management reporting, and ad‑hoc analytical requests.
Design multi‑agent orchestration systems (planner, retriever, executor, reviewer) with appropriate guardrails, evaluations, and human‑in‑the‑loop checkpoints.
Identify high‑leverage automation opportunities across the finance value chain and translate them into clear architectural blueprints, prototypes, and production roadmaps.
Define standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability across solutions.
Partner with Engineering, IT and Security to product ionize agents — addressing identity, access, secrets management, audit logging and change control.
AI/ML for FP&A & Forecasting Design and implement machine learning models for revenue, expense, cash flow and driver‑based forecasting, scenario modeling and anomaly detection.
Lead the evolution from traditional, spreadsheet‑driven forecasting toward predictive and probabilistic approaches, including time‑series, hierarchical, and causal modelling techniques.
Embed AI‑generated insights and narratives into the FP&A planning cycle, partnering with FP&A leaders to ensure outputs are interpretable, trusted and actionable.
Establish backtesting, model monitoring, drift detection and performance benchmarks so that models remain accurate and credible over time.
Champion experimentation: define hypotheses, run controlled pilots and measure impact on forecast accuracy, cycle time and decision quality.
Technical Leadership & Influence Serve as the senior‑most AI technical voice within Finance, setting technical direction, reviewing designs and raising the bar on engineering quality across initiatives.
Provide hands‑on prototyping and reference implementations that de‑risk new ideas and accelerate delivery for partner teams.
Mentor and uplift finance analysts, FP&A partners and adjacent engineering teams on AI and ML concepts, patterns and responsible use.
Represent Finance in cross‑functional AI governance forums, contributing to enterprise AI strategy, standards and reusable platform capabilities.
Responsible AI, Governance & Risk Establish and enforce responsible AI practices for Finance — including model risk management, bias and fairness reviews, explainability and human oversight.
Define evaluation frameworks and acceptance criteria for AI outputs used in financial decisions and reporting contexts.
Maintain a clear inventory of finance AI use cases, models and agents, with documented owners, data lineage, controls and review cadence.
Stay ahead of evolving AI regulation and external standards relevant to financial services and corporate finance, and translate them into practical internal guidelines.
Innovation & Continuous Learning Maintain deep, current expertise in foundation models, agent frameworks, ML tooling and the rapidly evolving finance AI ecosystem.
Run structured pilots and proofs‑of‑concept to evaluate emerging capabilities and translate promising results into a defensible production roadmap.
Curate a portfolio of high‑impact AI use cases for Finance, balancing quick wins with foundational, longer‑horizon investments.
What You Will Need
10+ years of progressive experience in AI/ML, software engineering or applied data science, including significant time as a senior IC, principal or staff‑level architect.
Demonstrated experience designing and shipping production AI systems – ideally including…
Position Requirements
10+ Years
work experience
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