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Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
Builds production-grade AI/Generative AI solutions (LLMs, RAG, agentic workflows) for scientific/healthcare systems, integrating models into backend services and cloud platforms.
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.
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.
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.
This role involves building and maintaining data integrations and pipelines to power AI agents that assist sales teams. You will work closely with GTM IT engineering to ensure reliable data flow between CRM systems and AI models to optimize seller productivity.
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…
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.
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.
AI Engineer at Barclays building full-stack GenAI solutions (LLMs, RAG, vector stores) using Python or Java with React/Angular, delivered via cloud-native DevSecOps with Docker, Kubernetes, and CI/CD.
Wells Fargo is seeking a Senior Software Engineer to design and develop scalable, cloud-native applications using Java, Spring Boot, and React. The role involves integrating generative AI and agentic architectures into financial systems while leading technical initiatives and mentoring junior staff.
Senior Data Scientist applying ML and generative AI to detect and prevent fraud, waste, and abuse in Medicare/Medicaid claims, using Python, SQL, Databricks/Snowflake/Spark, and GenAI tools like LangChain and vector databases.
Lead Software Engineer building Generative AI solutions—assistants, AI-infused pipelines, and tooling—using Python/Go, deployed on AWS with GitHub Actions CI/CD, leveraging frameworks like LangChain and LangGraph at Caterpillar's Cat Digital division.
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