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Designs and implements AI-native security architecture for an AI-first enterprise platform, securing GenAI agents, models, and integrations while building ML-driven threat detection and autonomous security agents to analyze 22B+ monthly security events across 176K+ hosts and 266+ Kubernetes clusters.
Designs and builds AI-powered financial solutions for capital markets, bridging business needs with scalable agentic AI frameworks and full-stack cloud-native architectures.
Designs and deploys AI/ML and generative AI solutions (LLMs, RAG, vector databases) for enterprise applications, focusing on document intelligence, knowledge management, and automation to improve operational efficiency in climate and energy solutions.
Lead AI engineering for a global pest control/environmental services company, designing and scaling production-grade genAI, multi-agent workflows, and automation systems. Focus on cloud-native LLMOps, platform architecture, and mentoring teams to deploy AI solutions across business functions.
Builds and deploys AI/ML and GenAI systems for healthcare, focusing on scalable data pipelines, model serving, and advanced GenAI patterns to solve health-related problems across Asia.
Leads AI architecture and development of agentic/Generative AI systems, including LLM-powered agents, RAG pipelines, and multi-agent workflows, while mentoring engineers and collaborating cross-functionally to deliver scalable, production-grade solutions.
Builds scalable backend systems, AI-driven data pipelines, and agentic workflows for Cisco IQ, integrating acquired company tech and modernizing platform capabilities.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Build and deploy scalable AI and agentic AI solutions, integrating LLMs and APIs into enterprise systems while ensuring security and reliability.
The Lead Software Engineer will drive technical strategy and implementation for automation initiatives within the SRE and Automation portfolio. The role involves designing and building large-scale solutions using a broad stack including .NET, Java, Python, and various AI/ML frameworks.
The Lead Digital Product Manager will drive the AI transformation agenda for Corporate & Investment Banking by managing the roadmap, implementation, and governance of GenAI and agentic AI solutions. This role involves leading cross-functional teams to integrate AI into business workflows while ensuring compliance with risk frameworks.
Lead a team of 3-6 AI scientists in BlackRock's AI Labs, owning end-to-end delivery of agentic AI workflows and flagship ML initiatives from scoping through production deployment, primarily using Python, LLMs, and AI/ML systems.
The Software Engineer will design, build, and maintain complex AI-driven solutions within a feature team at NatWest. The role focuses on developing AI agents and deploying secure, high-performance software using AWS AI services, Python, Java, and various GenAI frameworks.
This is a data science internship at DBS where the intern will assist senior data scientists in designing and testing machine learning, GenAI, and agentic AI solutions. The role involves data preparation, model development, and maintaining project documentation using tools like Python, SQL, and GCP.
The Senior Data Engineer will architect and build scalable data pipelines on AWS to support automotive data products and AI-driven capabilities. The role involves hands-on development using Python, SQL, Databricks, and agentic AI frameworks in a hybrid work environment.
Designs and builds AWS-based data pipelines for automotive data; leads architectural decisions, optimizes performance, and mentors engineers in a hybrid role.
Build enterprise banking platforms and integrate AI features like document processing and decision support using Java/Node.js/Python and React/Angular with LLM APIs and RAG pipelines.
The Senior AI Engineer will build and maintain agentic AI workflows and RAG pipelines, integrating them with RPA systems to automate enterprise processes. The role requires strong Python skills and experience deploying production-ready AI solutions using frameworks like LangChain and various LLM APIs.
The AI Engineer will build and operate AI-powered products within small, embedded pods to solve learning and operational problems at SNHU. The role involves using AI-augmented development workflows, agent orchestration, and LLM integration to deliver scalable solutions.
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