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The Quantexa Systems Analyst will manage business requirements and design solutions for banking systems, with a specific focus on integrating Agentic AI and GenAI architectures. The role involves collaborating with stakeholders and technical teams to implement LLM-based solutions using Python and modern AI frameworks.
The Platform Engineer III will build and maintain AI infrastructure on Google Kubernetes Engine (GKE) to support Generative AI applications. The role involves implementing CI/CD, GitOps, and observability standards while collaborating with data science teams to optimize LLM serving and cloud-native tooling.
Lead Data Science Engineer at Sabre, designing AI-driven systems for travel optimization, agency automation, and real-time itinerary personalization using advanced ML, optimization, and MLOps.
Hands-on senior AI/ML engineer leading the design, development, and production deployment of LLM, RAG, and agentic AI solutions for life sciences and healthcare applications using Python, PyTorch, LangChain, and Azure OpenAI.
Leads end-to-end AI/ML development for scientific workflows, deploying LLMs, RAG, and agentic systems in healthcare/genomics to improve customer outcomes and innovation.
Build AI-driven agents to autonomously detect, diagnose, and remediate issues across CrowdStrike’s large-scale distributed infrastructure, integrating with monitoring and telemetry stacks.
The Associate Director of Data Analytics will design and deliver advanced marketing analytics, measurement, and reporting solutions using SQL, Python, and cloud platforms. This role involves leading complex analytical projects, implementing AI-driven automation, and mentoring a team to provide actionable insights for clients.
Build and optimize enterprise-scale search for Caterpillar’s eCommerce platform using OpenSearch, vector search, and Amazon Bedrock GenAI to power product discovery and conversational shopping.
Design and deploy AI-native software products that transform geospatial data into actionable intelligence, using LLMs, multi-agent orchestration frameworks (LangChain, LangGraph, Google ADK), and cloud infrastructure on GCP/AWS.
This role involves leading the development of scalable advertising platform systems using Java, GCP, and advanced AI-augmented workflows. The engineer will own the full SDLC, integrate LLM-based solutions, and mentor team members to drive technical excellence.
The Data Scientist will design, develop, and deploy scalable machine learning and AI solutions, focusing on Generative AI, LLMs, and NLP models. The role involves end-to-end ownership of projects, from data analysis and feature engineering to production deployment and monitoring using Python and PySpark.
Design, build, and operate an AIOps agent platform — including agent runtime, tool interfaces, event routing, telemetry, and operator experience — using Python, event-driven architectures (Kafka), observability stacks, and modern front-end frameworks in a hybrid setting.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
At Signature Aviation, we are modernizing operations and customer experiences through advanced data platforms and artificial intelligence. We are seeking a Principal Engineer – AI Agentic Systems to design, architect,…
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.
The application window is expected to close on: 09/10/2026 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.
Manage a team of software quality engineers testing Cboe Europe's high-performance trading systems, with hands-on contributions to automated test frameworks, CI/CD pipelines, and applying AI techniques to the QA process.
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.
The Applications Development Group Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or…
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