Ai Architect (Bilbao)
hace 11 horas
Madrid
AI Architect, Finance position at ShopFully located in Madrid, Spain. This full‑time on‑site role offers a chance to be a senior individual contributor within the Strategic Transformation team, designing AI‑driven financial solutions with a focus on agentic AI, intelligent automation, and machine learning for forecasting and planning.ResponsibilitiesDesign and build agentic AI systems to automate finance workflows such as close, consolidations, variance analysis, management reporting, and ad‑hoc requests.Develop multi‑agent orchestration systems (planner, retriever, executor, reviewer) with guardrails, evaluations, and human‑in‑the‑loop checkpoints.Identify high‑leverage automation opportunities across the finance value chain and translate them into architectural blueprints, prototypes, and production roadmaps.Define standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability.Collaborate with Engineering, IT, and Security to productionize agents, addressing identity, access, secrets management, audit logging, and change control.Design and implement ML models for revenue, expense, cash flow, driver‑based forecasting, scenario modeling, and anomaly detection.Lead the transition from spreadsheet‑driven forecasting to predictive and probabilistic approaches, including time‑series, hierarchical, and causal modeling.Embed AI‑generated insights into the FP&A planning cycle, partnering with leaders to ensure outputs are interpretable, trusted, and actionable.Establish model monitoring, drift detection, and performance benchmarks to maintain model accuracy.Define experimentation frameworks, run controlled pilots, and measure impact on forecast accuracy, cycle time, and decision quality.Serve as the senior‑most AI technical voice within Finance, setting technical direction, reviewing designs, and raising engineering quality standards.Provide hands‑on prototypes and reference implementations to accelerate delivery for partner teams.Mentor finance analysts and engineering teams on AI/ML concepts, patterns, and responsible use.Represent Finance in cross‑functional AI governance forums, contributing to enterprise AI strategy and reusable platform capabilities.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 an inventory of finance AI use cases, models, and agents with documented owners, data lineage, controls, and review cadence.Stay current with AI regulation and external standards relevant to financial services and translate them into internal guidelines.Run structured pilots and proofs‑of‑concept for emerging capabilities, translating results into defensible production roadmaps.Qualifications10+ years of progressive experience in AI/ML, software engineering, or applied data science, with senior IC or architect roles.Demonstrated experience designing and shipping production AI systems, especially agentic AI, LLM applications, and ML for forecasting or planning.Hands‑on expertise with foundation models, agent frameworks, RAG patterns, vector stores, orchestration tools, and ML libraries (scikit‑learn, PyTorch, TensorFlow, statsmodels, Prophet, etc.).Strong software engineering fundamentals – Python, APIs, version control, testing, CI/CD, cloud platforms (AWS, Azure, or GCP), and modern data stacks.Solid working knowledge of finance and FP&A concepts such as budgeting, forecasting, variance analysis, driver‑based planning, and management reporting.Experience working with finance‑relevant data (general ledger, sub‑ledgers, headcount, sales pipeline, operational drivers) and data quality and lineage.Understanding of responsible AI, model risk management, security, privacy, and audit considerations in enterprise finance.#J-18808-Ljbffr
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