Massimo BuonaiutoPrincipal Director · Data & Artificial Intelligence

Topics / Industries

Banking & financial services

Tier-1 banking, wealth management, regulatory reporting and finance.

8 contributions across 1 experience

Where this industry appears in the career

2024–20257 contributions

EPAM Systems

  • Led the technical response to a Tier-1 Swiss bank’s enterprise AI RFI — structured on business value; technology, security and compliance; and people, operating model and governance — later reused as the technical core of a second pursuit with the same bank and the engagement behind EPAM’s preferred-vendor status.
  • Coordinated the proposal for a bank-wide Generative AI blueprint mapping 35 prioritised use cases across all seven divisions of the bank over six enabling layers: AI strategy, legal and compliance, data and security, technical architecture, responsible AI and workforce enablement.
  • Contributed the AI and data proposition to a growth proposal for the bank’s China digital wealth platform (200,000+ users in two years, in a market where over 80% of wealth management is domestically held): a gamified paper-trading experience with a graduated three-tier conversion model, disclosure design and an explicit Chinese gaming-regulation risk assessment.
  • Spearheaded the global expansion of EPAM’s Data & AI practice across EMEA, North America, APAC, LATAM and CIS, defining strategic direction for AI, Generative AI and Agentic AI, and led client engagements and pre-sales across banking, government services, logistics, consumer goods, biopharma, chemicals, telecommunications, energy and industrials.
  • Extended the proposition to generative AI in prudential and regulatory reporting (proposal scope, not delivered).
  • Adapted EPAM’s Generative AI Factory target architecture for the bank — three planes (Models / Data / Services) over Data Factory, AI Backoffice and AI Serving Platform — covering feature and prompt engineering, continuous training and evaluation, data- and model-drift monitoring, hallucination management, guardrails, vector stores, FinOps and a gateway to third-party models, closing on a dedicated data-privacy layer.
  • Global energy leader, Saudi Arabia: designed scalable AWS AI cloud platforms and end-to-end architectures across upstream, downstream, R&D, engineering, finance, HR, safety and supply chain, with LLM orchestration, multi-agent systems, RAG and LSTM models for R&D.
Profile1 contribution

Across the career

  • Brings cross-industry experience spanning biopharma, banking, insurance, life sciences, chemicals, manufacturing, supply chain, finance, e-commerce, public sector, NGOs and FMCG.
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