ppThe AI Architect, Finance, is a senior individual contributor and the principal technical designer of AI-driven solutions across the Finance organization. Reporting to the Director, Strategic Transformation, this role will partner closely with the finance organization (FPA, Accounting, Treasury, and adjacent business teams) to translate complex finance problems into pragmatic, production-grade technical solutions with a strong emphasis on agentic AI, intelligent automation, and machine learning for forecasting and planning. /p pThis is an execution-first role focused on prototyping, building, and launching production-grade solutions that deliver measurable impact for Finance. Beyond direct execution, the AI Architect will help influence technical direction, define architectural standards, and establish new ways of working across the organization. /p h3As part of our general hiring process, we kindly ask that resumes/CVs be submitted in English, as it’s our primary business language across teams and regions. /h3 h3What you’ll get the opportunity to do: /h3 ulliArchitect and build agentic AI systems that automate finance workflows, including close, consolidations, variance analysis, management reporting, and ad-hoc analytical requests. /liliDesign multi-agent orchestration systems (planner, retriever, executor, reviewer) with appropriate guardrails, evaluations, and human-in-the-loop checkpoints. /liliIdentify high-leverage automation opportunities across the finance value chain and translate them into clear architectural blueprints, prototypes, and production roadmaps. /liliDefine standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability across solutions. /liliPartner with Engineering, IT, and Security to productionize agents — addressing identity, access, secrets management, audit logging, and change control. /li /ul h3AI/ML for FPA Forecasting /h3 ulliDesign and implement machine learning models for revenue, expense, cash flow, and driver-based forecasting, scenario modeling, and anomaly detection.



/liliLead the evolution from traditional, spreadsheet-driven forecasting toward predictive and probabilistic approaches, including time-series, hierarchical, and causal modeling techniques. /liliEmbed AI-generated insights and narratives into the FPA planning cycle, partnering with FPA leaders to ensure outputs are interpretable, trusted, and actionable. /liliEstablish backtesting, model monitoring, drift detection, and performance benchmarks so that models remain accurate and credible over time. /liliChampion experimentation: define hypotheses, run controlled pilots, and measure impact on forecast accuracy, cycle time, and decision quality. /li /ul h3Technical Leadership Influence /h3 ulliServe as the senior-most AI technical voice within Finance, setting technical direction, reviewing designs, and raising the bar on engineering quality across initiatives. /liliProvide hands‑on prototyping and reference implementations that de‑risk new ideas and accelerate delivery for partner teams. /liliMentor and uplift finance analysts, FPA partners, and adjacent engineering teams on AI and ML concepts, patterns, and responsible use. /liliRepresent Finance in cross‑functional AI governance forums, contributing to enterprise AI strategy, standards, and reusable platform capabilities. /li /ul h3Responsible AI, Governance Risk /h3 ulliEstablish and enforce responsible AI practices for Finance — including model risk management, bias and fairness reviews, explainability, and human oversight. /liliDefine evaluation frameworks and acceptance criteria for AI outputs used in financial decisions and reporting contexts. /liliMaintain a clear inventory of finance AI use cases, models, and agents, with documented owners, data lineage, controls,



and review cadence. /liliStay ahead of evolving AI regulation and external standards relevant to financial services and corporate finance, and translate them into practical internal guidelines. /liliMaintain deep, current expertise in foundation models, agent frameworks, ML tooling, and the rapidly evolving finance AI ecosystem. /liliRun structured pilots and proofs-of-concept to evaluate emerging capabilities and translate promising results into a defensible production roadmap. /liliCurate a portfolio of high-impact AI use cases for Finance, balancing quick wins with foundational, longer-horizon investments. /li /ul h3What you’ll bring to the team: /h3 ulli10+ 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. /liliDemonstrated experience designing and shipping production AI systems — ideally including agentic AI, LLM-based applications, and ML for forecasting or planning use cases. /liliDeep, hands‑on expertise with modern AI tooling: foundation models and APIs, agent frameworks, RAG patterns, vector stores, orchestration tools, and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, statsmodels, Prophet, or equivalents). /liliStrong software engineering fundamentals — Python, APIs, version control, testing, CI/CD, cloud platforms (AWS, Azure, or GCP), and modern data stacks. /liliSolid working knowledge of finance and FPA concepts: budgeting, forecasting, variance analysis, driver-based planning, management reporting, and the systems that support them (ERP, EPM/CPM, data warehouse, BI). /liliExperience working with or building on top of finance-relevant data — general ledger, sub-ledgers, headcount, sales pipeline, and operational drivers — with a strong appreciation for data quality and lineage. /liliWorking understanding of responsible AI, model risk management, security, privacy, and audit considerations relevant to enterprise finance. /li /ul /p #J-18808-Ljbffr

📌 AI Architect, Finance (España)
🏢 Flipp
📍 España