Enterprise Technologist · AI Infrastructure Leader · Builder
25 years inside a global bank solving enterprise technology problems. Now I'm on the other side of the table — turning AI, accelerated computing, and modern infrastructure into platforms that hold up in production.
Senior Solutions Engineer, Advanced Solutions Group @ SHI Enterprise Technology & AI Infrastructure Former Citi SVP
What I Solve
Three problem domains where deep engineering, enterprise judgment, and business outcomes meet.
GPU/HPC platforms, liquid cooling, power and density, workload placement, AI readiness, and platform modernization — the physical and architectural foundation that makes enterprise AI viable in production.
Turning engineering into secure, resilient, cost-aware business platforms — with strong governance, controls, and operational accountability at the center of every decision.
Tokenization and quantum viewed through the practical question of what can responsibly reach production — not hype. Separating the durable shifts from the noise.
Two Pathways
Two complementary sides of the same operator — the strategic leadership to set direction, and the technical depth to build what that direction requires.
Executive Technology Leadership
For senior leadership, strategy, and board-adjacent conversations.
Senior technology strategy grounded in a career of owning the outcomes — from investment and roadmap decisions to governance and the executive conversations that make transformation actually move.
Hands-On Architecture & Engineering
For architecture reviews, technical deep dives, and the details that decide outcomes.
Still hands-on — independently architecting and building AI systems, from AI/GPU/HPC integration to governed automation and cloud-native implementation.
Selected Enterprise Impact
A qualitative view of the problems I take on and the decisions behind them — deeper case studies to follow.
Former SVP, Global Next Generation Technology Engineering — Citi · 2001–2026
As enterprise demand for AI and accelerated computing outpaced traditional data-center design, I helped set the direction for next-generation compute — advancing GPU/HPC platforms and liquid cooling to address the power and density that AI-era workloads require.
Infrastructure positioned to support accelerated-computing and AI workloads responsibly, not reactively.
Citi global engineering leadership · OEM advisory councils
Modernizing and keeping a large global compute environment resilient means choosing platforms on operational reality, not vendor slideware. I engaged that work directly — serving on the Dell, HPE, Lenovo, and Cisco technology advisory councils, with strategic engagement across the Intel, AMD, and NVIDIA ecosystems.
Technology and vendor decisions grounded in resiliency, governance, and long-term direction.
Independently architected, built, and governed
The builder side stays current. I independently architected and built an AI-native operations platform where specialized agents coordinate real business processes while people retain approvals, judgment, and exception handling — governed by tenant isolation, approval gates, kill switches, authority limits, and auditability.
Present-day, hands-on proof that the leadership perspective is backed by building.
Read the case studyLeadership Philosophy
AI value does not come from access to a model. It comes from disciplined execution — architecture, power, data, governance, people, and operational accountability. The organizations that win will be the ones that engineer AI responsibly, keep humans in the decisions that matter, and turn ambition into platforms that hold up in production.
Moses Acosta
Engineering-first. Entrepreneurial. Risk-taking.
Speaking
Moses speaks to executives, engineers, and students about AI infrastructure, accelerated computing, hybrid cloud, governance, and the future of technology. His experience includes panel participation at HPE/NVIDIA and Intel/Lenovo events in New York, along with volunteer technology presentations for HISPA across New Jersey school districts.
Panelist discussing enterprise AI infrastructure, accelerated computing, and the operational realities of bringing AI into production.
Panelist discussing infrastructure modernization, hybrid cloud, data-center strategy, and the foundations required for AI-era workloads.
Volunteer presenter introducing students to technology, artificial intelligence, infrastructure, and careers in technology.
Let's Talk
If your world touches enterprise AI, accelerated computing, or the infrastructure underneath them — or you need a speaker who can make those topics land — I'd enjoy the conversation.