AI Lead Engineer

ppSoldo is the proactive spend management solution that frees progressive businesses to accomplish more. /p pOver 25,000 organisations across 31 countries use Soldo to end slow, messy, and inefficient spending, bringing financial agility and control over every expense. Soldo frees finance with a uniquely proactive approach to managing decentralised spending. /p pBy combining a powerful spend management platform, a user-friendly app, and versatile payment methods, Soldo automates expense admin to eliminate inefficiency in managing business spending. /p pBy proactively managing decentralised spend, organisations empower employees to spend when and where it's needed, keeping productivity high while avoiding month-end surprises. /p pFounded in 2015 by Italian digital innovator Carlo Gualandri, Soldo is headquartered in London, with offices in Dublin, Milan, and Rome. /p pWe’re looking for people with big ambitions, cool heads, sharp minds, and warm hearts. p h3What's in it for you /h3 ul liPrivate healthcare coverage for you and your family /li liGenuine career development opportunities (we love to see you succeed)
- including your own annual €500 career development budget /li liAccess to training and development
- including a mentoring programme, workshops and the opportunity to progress onto our leadership programme /li liFlexible working options, including working from home or our Milan or Rome offices + 60 days’ work anywhere /li liStatutory Leave entitlements plus extra days off on Christmas Eve, New Year's Eve and your Birthday /li liYour own personal company Soldo card /li liEmployee Assistance Programme /li liCAF Annual Fiscal Financial Support /li /ul h3The role /h3 pWe’re now seeking a bLead AI Scientist /b to bbuild and lead our AI research and development function /b, driving innovation that transforms how companies manage and optimise their spend. /p pAs bLead AI Scientist /b, you will be both a bstrategic architect /b and a bhands-on innovator /b, responsible for advancing Soldo’s AI vision from concept to production. /p pYou will grow and lead a team of AI scientists, machine learning engineers, and analysts in developing next-generation AI models that power real-time data enrichment, (near) real-time spend analytics, risk prediction, anomaly detection, and decision intelligence within our platform. /p pYou will collaborate closely with Product, software architects, software engineering, and finance domain experts to ensure our AI systems deliver measurable business value while maintaining transparency, compliance, and ethical integrity. /p h3Key Responsibilities /h3 h3Strategic Leadership /h3 ul liDefine and execute the company’s AI roadmap aligned with the overall product and business strategy. /li liGrow, lead, mentor, and scale an AI team and a multidisciplinary Squad, fostering innovation and technical excellence. /li liCollaborate with executive leadership to identify and prioritise high-impact AI initiatives. /li liSelect the right tools, frameworks, and deployment strategies. /li liBalance business goals with technical feasibility. /li liDesign, architect/implement, and guide AI projects end-to-end, like for instance advanced machine learning, deep learning, and generative AI models for spend enrichment, spend categorisation, budget forecasting, fraud detection, and any kind of optimisation. /li liExplore and prototype new AI technologies for product and financial behaviour modelling, NLP for invoice/document understanding, RAG for product enhancement and assistance, and reinforcement learning for spend optimisation. /li liEnsure robust model governance, including explainability, fairness, and compliance with financial regulations (e.g., GDPR, ISO27001, SOC2). /li /ul h3Operational Excellence /h3 ul liOversee deployment of AI systems into production with ML Ops best practices. /li liCollaborate with data engineering to ensure scalable data pipelines and quality datasets. /li /ul h3Cross-Functional Collaboration /h3 ul liPartner with Product teams to translate customer problems into AI solutions. /li liCommunicate complex AI concepts clearly to non-technical stakeholders. /li liRepresent the AI function in strategic discussions, product reviews, and relevant stakeholder communications. /li /ul h3Qualifications /h3 ul liPhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field. /li liExtensive experience (typically 5+ years) in AI/ML research and development, including at least 2 years in a leadership role. /li liExpertise in machine learning, NLP through LLMs, time-series forecasting, RAG, and anomaly detection. /li liStrong programming skills in Python, and familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, Vector DBs, and LLMs. /li liDeep understanding of data architecture, ML Ops, and cloud platforms (at least one of AWS, GCP, or Azure). /li liProven experience designing scalable AI architectures integrated