Subhankar Barman

WORK HISTORY

EDUCATION

SKILLS

ABOUT SUBHANKAR BARMAN

I architect and deploy enterprise-scale AI systems that move organizations from experimentation to production-grade intelligence.Currently an AI Engineer at Accenture, I specialize in building full-stack AI ecosystems spanning multi-agent orchestration, agentic system design, retrieval-augmented generation (RAG), and secure cloud-native AI infrastructure. My work focuses on translating executive AI strategy into governed, scalable, and performance-optimized production deployments for global enterprises and Big Tech clients.My technical focus areas include: Enterprise AI architecture & distributed system design Multi-agent systems & autonomous decision frameworks LLM orchestration, prompt engineering & fine-tuning RAG pipelines & vector database architectures Scalable data engineering (ETL/ELT, distributed processing) MLOps & end-to-end AI lifecycle management Responsible AI, model governance & risk controls Cloud-native AI deployments (GCP / Azure / AWS)My foundation is strengthened by early-career experience in investment banking at Goldman Sachs, where analytical rigor, structured problem-solving, and execution under pressure were non-negotiable. Combined with global data transformation leadership and enterprise AI architecture depth, this background enables me to operate across the full AI value chain - from boardroom strategy and C-suite storytelling to system-level engineering and scaled deployment.I believe the next decade will be defined not by AI pilots, but by operationalized intelligent systems embedded across enterprise value chains. My mission is to help design that future - responsibly, scalably, and strategically.I welcome discussions around enterprise AI architecture, advanced AI engineering, advisory opportunities, speaking engagements, and collaborations shaping the future of intelligent systems.