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Leads enterprise-wide AI architecture strategy, governance, standards, and adoption roadmap for Smith+Nephew. Works with Generative AI, LLMs, RAG, vector databases, MCP, A2A, and cloud AI platforms like Azure/OpenAI to define enterprise AI standards and integrate with ERP/CRM systems.
Principal Software Engineer builds and scales Palo Alto Networks’ cloud-native Identity Directory Service using AWS, .NET, and secure-by-design principles to power enterprise SaaS at scale.
Lead the North America Commercial AI strategy, building and deploying LLM/agentic AI solutions for patient finding, HCP engagement, and commercial workflows in a biopharma company.
Build and integrate AI features (LLMs, agents, RAG) into existing products to automate data extraction, QA/QC, and infrastructure asset recognition for civil/transportation use cases.
Build and ship AI-powered features end-to-end for a UK security-training platform, from LLM prototypes to production code, owning discovery through iteration.
Lead the architecture and development of cloud-native, event-driven supply-chain platforms using Python, FastAPI, Kafka, and AWS, while mentoring teams and integrating AI tools.
Lead enterprise Dynamics 365 implementations and embedded Copilot AI rollouts across Sales, Customer Service, Finance, and Supply Chain, owning delivery quality, governance, and client outcomes.
Build production-grade full-stack software that integrates with agentic AI systems, using AI tools daily to accelerate development and ship client projects across industries.
Build and ship AI-powered features into existing C#/.NET products using Azure AI, RAG, and agentic workflows, taking ideas from proof-of-concept to production.
Build and maintain RethinkFirst’s Microsoft Fabric Lakehouse and Azure Synapse warehouse, designing scalable pipelines, dimensional models, and ETL/ELT workflows using SQL, Python, and C# to deliver reliable, secure data for analytics and BI.
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 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.
Lead AI integration at a global bank, building LLM-powered features and GenAI agents to enhance financial applications and user workflows.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth…
Embed with enterprise clients to deploy and scale AI platforms (OpenAI, Anthropic, Google, etc.) into production, ensuring reliability, adoption, and measurable business value.
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.
At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed…
Build and deploy LLM-powered assistants, RAG apps, and AI agents on enterprise platforms like ChatGPT Enterprise and AWS Bedrock, using Python, TypeScript, React, and cloud-native tooling.
Manages end-to-end delivery of GenAI assistants, RAG solutions, and AI automation projects, coordinating cross-functional teams across Portugal, the US, and India using Agile/Scrum methodologies.
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