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Lead the design and scaling of SS&C’s enterprise AI agent platform, integrating MCP, multi-agent orchestration, and LLM workflows for financial services and healthcare clients.
Build and deploy end-to-end ML and Generative AI solutions for enterprise-scale problems in commercial operations, supply chain, and customer experience using Python, TensorFlow/PyTorch, and LLM frameworks like LangChain.
Build and deploy AI agents using LLMs and orchestration frameworks (LangChain, LangGraph) to automate multi-step tasks for financial services, while designing scalable data pipelines and cloud infrastructure.
Sobre a Accenture A Accenture ajuda as principais empresas do mundo a se reinventarem, construindo seu núcleo digital e liberando o poder da IA para gerar valor com rapidez em organizações de todos os setores. Nossa…
Design and deploy AI agents that integrate with investment workflows to enhance research, portfolio construction, and risk analysis for an asset-management firm.
Build and integrate AI agents, RAG, and SLMs into production systems using LangChain, LangGraph, and containerized workflows.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native microservices, AI/ML integration (LLMs, agents), and modernizing legacy systems to improve operational efficiency and customer experience.
Build and own production ML/AI components for Amgen’s AI Studio, including GenAI, RAG, and retrieval systems, using Python, SQL, and cloud services.
Build and deploy production ML and GenAI components—models, RAG systems, agents, and pipelines—using Python, SQL, and cloud services to power Amgen’s healthcare-focused AI products.
Designs and leads enterprise-scale .NET/Python architectures for PNC’s lending tech, focusing on cloud-native, AI-driven solutions, microservices, and event-driven systems to modernize legacy platforms and drive business growth.
Builds and deploys autonomous AI agents, multi-agent systems, and generative AI solutions using frameworks like LangChain, AutoGen, and Azure OpenAI to automate enterprise workflows, enhance decision-making, and deliver scalable AI-driven business value.
Build and deploy agentic AI systems using LLMs, RAG, and multi-agent frameworks (LangGraph, Anthropic Agents SDK) to create autonomous agents that solve real business problems.
Build and operate the interface, semantic layer and controls that let AI agents safely interact with IFS enterprise software, focusing on MCP servers, knowledge graphs and agentic workflows.
Data Analyst builds and optimizes data pipelines and semantic marts for an AI Business Assistant in Sberbank’s SME banking unit, enabling LLM-powered chat interactions and business insights.
Embed with a global manufacturer to design and ship governed agentic search workflows using Python/C# and enterprise search engines, bridging customer needs with Sinequa’s AI platform.
Lead AI security architecture and risk governance at a global fintech leader, defining secure-by-design patterns, risk-tiering frameworks, and guardrails for enterprise AI adoption.
Build and deploy AI-powered applications end-to-end, integrating LLMs, prompt engineering, and full-stack development to create next-generation AI systems for real-world business problems.
Design and enforce secure AI architectures for hyperscaler platforms (Azure, AWS, GCP), including threat modeling, identity controls, and guardrail integrations for services like Azure OpenAI and Amazon Bedrock.
Build statistical and ML models for healthcare analytics and pharma marketing mix modeling to optimize spend and strategy using Python, SQL, and cloud tools.
Build and maintain APIs and MCP servers that expose ML models from Databricks to internal apps and AI agents, ensuring reliability, security, and scalability.
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