AI Architect, Finance

ppWe are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. /p pWe help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. /p pReady to spark your growth with us? /p h3WHO WE LOOK FOR /h3 pWe are looking for an AI Architect, Finance, who will join our Strategic Transformation team. /p pThe 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 pAs part of our global hiring process, we kindly ask that resumes/CVs be submitted in English, as it’s our primary business language across teams and regions. /p h3WHAT YOU WILL DO /h3 h3Agentic AI Intelligent Automation /h3 ul liArchitect and build agentic AI systems that automate finance workflows, including close, consolidations, variance analysis, management reporting, and ad-hoc analytical requests. /li liDesign multi-agent orchestration systems (planner, retriever, executor, reviewer) with appropriate guardrails, evaluations, and human-in-the-loop checkpoints. /li liIdentify high-leverage automation opportunities across the finance value chain and translate them into clear architectural blueprints, prototypes, and production roadmaps. /li liDefine standards for prompt engineering, tool integration, RAG, memory, and agent observability to ensure consistency and reliability across solutions. /li liPartner 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 ul liDesign and implement machine learning models for revenue, expense, cash flow, and driver-based forecasting, scenario modeling, and anomaly detection. /li liLead the evolution from traditional, spreadsheet-driven forecasting toward predictive and probabilistic approaches, including time-series, hierarchical, and causal modeling techniques. /li liEmbed AI-generated insights and narratives into the FPA planning cycle, partnering with FPA leaders to ensure outputs are interpretable, trusted, and actionable. /li liEstablish backtesting, model monitoring, drift detection, and performance benchmarks so that models remain accurate and credible over time. /li liChampion experimentation: define hypotheses, run controlled pilots, and measure impact on forecast accuracy, cycle time, and decision quality. /li /ul h3Technical Leadership Influence /h3 ul liServe as the senior-most AI technical voice within Finance, setting technical direction, reviewing designs, and raising the bar on engineering quality across initiatives. /li liProvide hands‑on prototyping and reference implementations that de‑risk new ideas and accelerate delivery for partner teams. /li liMentor and uplift finance analysts, FPA partners, and adjacent engineering teams on AI and ML concepts, patterns, and responsible use. /li liRepresent Finance in cross‑functional AI governance forums, contributing to enterprise AI strategy, standards, and reusable platform capabilities. /li /ul h3Responsible AI, Governance Risk /h3 ul liEstablish and enforce responsible AI practices for Finance — including model risk management, bias and fairness reviews, explainability, and human oversight. /li liDefine evaluation frameworks and acceptance criteria for AI outputs used in financial decisions and reporting contexts. /li liMaintain a clear inventory of finance AI use cases, models, and agents, with documented owners, data lineage, controls, and review cadence. /li liStay ahead of evolving AI regulation and external standards relevant to financial services and corporate finance, and translate them into practical internal guidelines. /li /ul h3Innovation Continuous Learning /h3 ul liMaintain deep, current expertise in foundation models, agent frameworks, ML tooling, and the rapidly evolving finance AI ecosystem. /li liRun structured pilots and proofs‑of‑concept to evaluate emerging capabilities and translate promising results into a defensible production roadmap. /li liCurate a portfolio of high‑impact AI use cases for Finance, balancing quick wins with foundational, longer‑horizon investments. /li /ul h3WHAT YOU WILL NEED /h3 ul li10+ 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. /li liDemonstrated experience designing and shipping production AI systems — ideally including agentic AI, LLM‑based applications, and ML for forecasting or planning use cases. /li liDeep, 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). /li liStrong software engineering fundamentals — Python, APIs, version control, testing, CI/CD, cloud platforms (AWS, Azure, or GCP), and modern data stacks. /li liSolid 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). /li liExperience 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. /li liWorking understanding of responsible AI, model risk management, security, privacy, and audit considerations relevant to enterprise finance. /li /ul pAt our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you. /p h3LOCATION /h3 pWhile we have offices in Milan and Madrid, you can benefit from our flexible hybrid model, empowering you to work where you’re most effective. /p h3WHAT YOU WILL FIND AT SHOPFULLY /h3 ul liAn opportunity to thrive in a rapidly scaling multinational company /li liA vibrant, informal, and inclusive work environment /li liWe champion autonomy, flexibility, and a hybrid work model, empowering you to own your work /li liAccess to learning opportunities and regular feedback sessions /li liEnjoy our central, modern offices featuring fresh snacks, coffee (including vegan options), and ergonomic setups /li liEngage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks /li liWe provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are /li liBenefit from additional country‑specific advantages based on local contracts and practices /li /ul h3WHO WE ARE /h3 pWe’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us. /p h3TO FEEL AT HOME IN SHOPFULLY YOU NEED /h3 ul libProgress Over Perfection /b: We move forward. Always. In a fast‑moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. /li libClarity Through Transparency /b: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. /li libLearn Loudly /b: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. /li libChallenge with Empathy /b: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. /li /ul pAlways Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. /p p* Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates. /p /p #J-18808-Ljbffr