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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Principal Engineer, Agentic AI Data and Insights”. A match may be a passing mention rather than the job itself. Titles only.
174 roles across 195 listings · show every listing · page 1 of 7
…AI-native capabilities: Embedding autonomous agents into how we interact with merchants, collect feedback, and automate traditional industry workflows—powering smarter support, proactive insights…
…MCP Servers & AI Agents Build and maintain MCP (Model Context Protocol) servers that expose Samsara's data assets and engineering workflows to AI models…
…the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources…
…We leverage cutting-edge AI tooling across the spectrum: from prompt engineering and in-context learning to fine-tuned models and agentic systems, choosing…
…We leverage cutting-edge AI tooling across the spectrum: from prompt engineering and in-context learning to fine-tuned models and agentic systems, choosing…
…Senior Software Engineers who want to make a meaningful impact and move quickly alongside a collaborative team, building innovative agentic and software-security solutions…
…for Principal Software Engineers who want to make a meaningful impact and move quickly alongside a collaborative team, building innovative agentic and software-security…
…and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents…
…and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents…
…an AI First approach to engineering by embedding AI-powered workflows, agentic systems, and responsible AI practices into how teams design, build, and operate…
Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all…
…Partner closely with product managers, product designers, and peer engineering managers to define and deliver the roadmap for Data Insights Platform (DIP) and related…
Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all…
…engineer in Finance, you’ll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and…
…relationships Fluency in the modern data stack (Snowflake, Databricks, BigQuery, Supabase) and the AI developer ecosystem (LLM platforms, agentics frameworks, vibe-coding tools, MCP…
…Responsibilities: - Uses AI to gather customer research, generate surveys and tests, and turn insight into clear UX. - Prototypes flows, interactions, and logic using Claude…
…Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products…
…uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the…
…Airbnb's state-of-the-art machine learning infrastructure and central data science tools to collaborate with engineers, product managers, designers, and operations agents…
…You’ll work across a multi-product technology stack spanning agentic AI workflows, intelligent routing, automated communications, employee data platforms, and cross-platform integration…
…AI tools to accelerate discovery and optimization; Design or leverage AI agents/copilots to assist with experiment planning, log analysis, protocol templating, data interpretation…
…GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its…
…Continuously automate and scale the forecasting process—leveraging AI and agentic tooling to reduce manual effort, move toward real-time data, and improve accuracy…
…Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across…
…to AI agent logic. No artificial boundaries between "frontend" and "backend" engineers. - Career growth — we invest in developing senior engineers toward Principal levels. You…