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Lead pre-sales AI solution architecture for enterprise customers, designing AI-ready storage and data pipelines using NetApp platforms, NVIDIA GPUs, and cloud services to accelerate AI transformation.
Lead presales architecture role designing Elastic Stack solutions for enterprise search, observability, and security, including AI-powered search and RAG pipelines.
Build production-ready AI features in C# .NET, integrating LLMs, prompt engineering, and structured outputs while ensuring reliability, cost control, and evaluation.
Lead proSapient’s data platform rebuild into an AI-driven system: architect multi-agent workflows, unified vector/keyword/graph search, and cross-cloud data orchestration to power intelligent knowledge discovery for consulting and private-equity clients.
Designs and leads the migration of enterprise workloads to Azure, builds data/AI platforms, and sets cloud architecture standards for a top accounting firm.
Designs and builds enterprise-grade Agentic AI and automation solutions using LLMs, CrewAI, and UiPath to automate workflows across Pearson’s education products.
Lead a team building AI-powered cloud systems at JPMorganChase, integrating LLMs, RAG pipelines, and agentic workflows while leveraging AI coding assistants daily.
Build and test AI-powered prototypes and integrations in Python/C# to enhance products and workflows, focusing on LLMs, RAG, and prompt engineering.
Build secure backend services that power AI and generative-AI solutions for government systems, including model pipelines, APIs, and retrieval-augmented generation workflows.
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Lead the architecture and modernization of RingCentral’s cloud-native data platform, integrating batch, streaming, and AI/ML workloads to power analytics and agentic voice AI products.
Build and deploy scalable GenAI and agentic AI systems for financial research, integrating LLMs, RAG, and agent orchestration with enterprise-grade controls and Python/Java code.
Build and maintain web apps using React, Python/Node.js, and AWS; integrate generative AI and cloud services to support healthcare workflows.
Builds custom AI applications, RAG pipelines, and integrations for a law firm, translating legal workflows into production-grade AI solutions using Python, LangChain, and Azure.
Build and ship AI-powered applications end-to-end: retrieval pipelines, LLM orchestration, backend APIs, and React/TypeScript frontends on cloud platforms.
Build and deploy AI-powered applications using LLMs, vector databases, and agentic orchestration, owning the full stack from APIs to user interfaces.
Build and maintain secure backend services that power AI and generative AI solutions for government systems, using Python and cloud platforms like AWS or GCC.
Designs and leads enterprise-grade AI solutions for Singtel’s AIDA unit, integrating AI workflows, cloud-native architectures, and hybrid systems while collaborating with cross-functional teams to align technology with business goals.
Design and govern LPL’s centralized AI Hub platform, enabling secure development and deployment of AI-powered applications across business domains using generative and agentic AI.
We Are Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis…
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