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Mandatory Java Spring Boot REST APIs Angular TypeScript Oracle Git OpenAPI/Swagger Spring Microservices Github Copilot Kafka Security (OAuth2/JWT) Strongly Preferred Elasticsearch Jenkins Kubernetes/OpenShift Banking…
Join us at the forefront of applied AI innovation and help build the next generation of agentic AI applications at one of the world’s largest banks. You will bridge cutting-edge AI capabilities with enterprise-grade…
Job Overview: McDermott is seeking an experienced Technology Manager, Artificial Intelligence Infrastructure to lead the strategy, architecture, deployment, governance, and operations of enterprise AI infrastructure…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
The Senior Machine Learning Engineer III will design, build, and optimize Retrieval-Augmented Generation (RAG) systems to deliver accurate, source-grounded AI solutions for legal and professional information products. The role focuses on vector search, document ingestion workflows, and evaluating AI performance to minimize hallucinations.
This 8-month internship involves working with the Applied AI Engineering team to build and integrate LLM-based features, backend APIs, and data pipelines. Interns will gain hands-on experience with technologies like Python, LangChain, and Azure OpenAI while contributing to real-world AI security products.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
The AI-Native Cloud FinOps Engineer will build autonomous systems and AI-driven pipelines to optimize cloud infrastructure spend across AWS, Azure, and GCP. The role focuses on managing AI/ML compute resources, implementing infrastructure-as-code, and developing self-healing automation to improve cloud efficiency.
The application window is expected to close on: 09/28/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Meet the Team Cisco's Webex…
Solution Architect Location: hybrid in Sterling, VA or Nashville, TN The Solutions Architect provides technical leadership for complex, scalable systems. This role drives architecture, code quality, and reliability…
Lead design, development, and deployment of AI applications (LLMs, RAG pipelines, agents) using Python and Java with cloud-native architectures at Bank of America, driving data-driven insights and revenue across business domains.
Plan and execute penetration tests across web, mobile (iOS & Android), API, cloud-native/containerized, and AI/LLM-integrated applications Assess AI/ML and generative AI-powered features for risks such as prompt…
Key Responsibilities Own delivery of LLM API integration and SDK patterns used across applications. Set organizational guidance on which LLM to use for what use case and drive delivery of multi-LLM scenarios. Define…
Senior Machine Learning Engineer Description - We are looking for a Senior MLOps Engineer to design, build, and operate the infrastructure that enables machine learning models and large language models to be deployed…
Full-Stack AI Engineer working across Python backend, LLM/AI pipelines (RAG, prompt engineering), infrastructure/DevOps, and frontend for Typewiser, a document intelligence platform at an early-stage applied AI startup.
This role involves building and deploying cloud-based Generative AI applications within the Microsoft Azure ecosystem. The developer will primarily focus on backend development using Python or .NET, while occasionally contributing to React/Next.js frontend tasks.
Build and deploy cloud-native Generative AI applications on Azure using Python/.NET backend and React/Next.js frontend, focusing on LLMs, RAG, and agent-based architectures.
Lead Data Engineer designing, building, and scaling data pipelines, APIs, and AI-ready data solutions for Fitch Group’s financial services platform. Focuses on cloud (AWS), data governance, and AI/ML tooling (LLMs, RAG, vector databases) to empower business decisions.
Lead AI Engineer designing and operationalizing next-gen agentic AI systems for a financial institution, focusing on LLM architectures, RAG pipelines, and SRE for secure, compliant banking automation.
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