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Designs and deploys enterprise generative AI solutions to automate workflows, improve decision-making, and integrate AI with business systems using Python, LLMs, and enterprise platforms like Databricks and n8n.
Builds AI-driven data products and semantic models to improve process intelligence and governance at a large bank, using Python, SQL, and GenAI techniques.
The application window is expected to close on: 09/14/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team The AI Center of Excellence…
Architect and build production-grade GenAI systems including RAG pipelines, LLM integrations, and agentic applications using Python, FastAPI, vector databases, and cloud platforms (AWS/Azure) at a data analytics scale-up.
Architects and leads the media-intelligence data platform for Adobe’s Firefly Foundry, designing scalable pipelines and search infrastructure to process, index, and retrieve multimodal media (images, video, 3D, audio) for AI agents and users, ensuring low-latency, high-recall retrieval at enterprise scale.
Design and build enterprise ontologies, knowledge graphs, and semantic data models using W3C standards (OWL, RDF, SPARQL) and graph databases to connect raw operational data with AI-ready intelligence for defense programs at RTX.
Design and develop Agentic AI solutions (multi-agent systems, RAG pipelines, LLM integrations) for Citi's Funds Transfer Pricing and Financial Hedging platforms using Python, SQL, and frameworks like LangChain and LangGraph.
Designs and deploys production-grade generative AI systems (LLMs, agentic frameworks) at a global financial institution, focusing on automation, workflow optimization, and enterprise-scale AI integration using Python and OpenShift.
Design and develop Agentic AI solutions for Citi's Funds Transfer Pricing and Financial Hedging platforms, building multi-agent systems with LLMs, RAG architectures, and vector databases using Python, SQL, and frameworks like LangChain and LangGraph.
Leads AI/data science teams to design, build, and deploy AI-driven solutions (e.g., LLMs, RAG) for PwC’s Advisory clients, blending technical leadership with business strategy to extract insights from data and drive decision-making.
Senior AI Engineer at PwC’s Manila Acceleration Center develops AI-driven data solutions, leveraging Python, cloud platforms, and ML frameworks to transform client data into actionable insights and strategic business decisions.
About Rimini Street, Inc. Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a proven, trusted global provider of end-to-end, mission-critical enterprise software support, managed services and innovative…
Senior AI Engineer doing full-stack development of cloud-based, AI-enabled enterprise applications on Azure, integrating GenAI/LLM features (RAG, prompt engineering) into business workflows using Python and React.
Senior, client-facing Public Cloud Solutions Architect designing and delivering enterprise cloud architectures (AWS, Azure, GCP), migration/modernization roadmaps, landing zones, and AI/agentic AI solutions for enterprise clients.
Designs and maintains Azure cloud solutions for NIH’s ChIRP generative AI platform, focusing on AI/ML architectures, DevOps, IaC, and secure scalable infrastructure to support scientific research.
Lead the design and productionization of AI/ML capabilities—including generative AI, forecasting, and recommendation systems—building data pipelines and production platforms using Python, SQL, Snowflake/Databricks, and Azure.
Lead Data Scientist translates business challenges into data-driven insights by building, deploying, and optimizing ML models (including generative AI) using Python/R/Scala. Focuses on full AI workflows—from feature engineering to model monitoring—while mentoring teams and advising executives on strategic decisions.
Builds and maintains Python-based data pipelines, prepares/validates data in databases, and assists with search/retrieval systems for national security research projects.
Build and evaluate ML models for NASA research projects, create reproducible data pipelines, and prototype tools for predictive analytics and decision support in a research environment.
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are…
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