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Define and govern enterprise AI architecture for a life sciences company, developing standards, reviewing designs, and leading PoCs across ML, GenAI, and agentic AI using Python, cloud platforms, RAG, and vector databases.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
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.
The Lead Data Scientist will design, implement, and deploy advanced machine learning, generative AI, and agentic AI solutions to address complex healthcare business challenges. This role involves leading technical strategy, mentoring data scientists, and ensuring scalable, governed AI products are successfully integrated into production environments.
Build and maintain data products, semantic layers, and AI-ready data structures in Palantir Foundry, Envision, Maven, Vantage, and AskSage for the Air National Guard CDAO, using SQL, Python, and Azure integrations.
The AI Engineer will design and deploy scalable Generative AI, Agentic AI, and machine learning solutions for the healthcare and life sciences industry. The role involves building production-grade AI applications, managing MLOps pipelines, and collaborating with stakeholders to solve complex medical and commercial data challenges.
Lead the development of advanced AI/ML systems powering next-generation journalism at The Washington Post, focusing on AI-powered search, retrieval, ranking, content understanding, and generative AI reader experiences using Python, PyTorch/TensorFlow/JAX, and cloud infrastructure.
We build AI agents that actually work in enterprise environments — not prototypes, not demos. We need engineer's who can own the entire agent stack: a production frontend, a robust backend, a properly secured API…
A generalist data scientist applies ML to solve data problems (e.g., quality, classification, embeddings) and builds tools for analysts. Works independently on projects, embedded with product/data teams, and partners with engineers, analysts, and PMs.
Senior Software Engineer at Microsoft builds AI-powered security and engineering platforms for Surface devices, using cloud-native tools and responsible AI practices.
Designs and implements a Databricks-based data and AI platform, enabling LLM-powered analytics, RAG, and agentic AI workflows for governed data products and semantic layers.
The Data Scientist manages and analyzes complex, often unstructured datasets for government and enterprise clients, ensuring data accuracy, accessibility, and usability. Core tasks include administering data tools, monitoring pipelines, developing analytical products, and collaborating with AI/ML and engineering teams to support mission-critical decision-making.
Design and implement secure, governed AI search and summarization solutions for VA healthcare using LLMs, RAG, and AWS services while ensuring compliance with Federal AI and cybersecurity standards.
VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will…
Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely…
Principal AI/ML Engineer at Vumedi builds and leads next-gen AI-powered discovery systems for physicians, using LLMs, semantic search, RAG, and recommendation engines to deliver personalized medical education content.
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
A Fractional Glean Architect will design and guide the integration of Glean's Work AI platform into a U.S.-based social platform for neighborhoods and local communities. The role involves building a scalable knowledge-discovery infrastructure using Glean's hybrid search capabilities, knowledge-graph techniques, and AI agents.
LLM / AI Engineer Join a forward-thinking organization building next-generation AI products powered by Large Language Models (LLMs). As an LLM / AI Engineer, you will design and deploy intelligent systems that automate…
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