As a Solutions Architect, you will lead technical discovery with AI application wrapper partners, build reference architectures, and create proofs of concept using NVIDIA's stack. You will optimize agentic workloads, support multi-stage deployment paths, and develop reusable enablement assets.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.Today, we’re tapping into the unlimited potential of AI to define the...
This role involves developing and maintaining C# applications, governing Azure DevOps pipelines, and collaborating with a team of 5 developers and a Solution Architect. The focus is on AI and Greenfield projects, with responsibilities including debugging, testing, and optimizing code, as well as providing technical support and ensuring best practices.
This role involves designing and building production-grade AI software solutions for enterprise use within a regulated banking environment. The engineer will work on cutting-edge Generative AI applications such as intelligent document processing, fraud detection, and cross-language translation, turning ambiguous problems into scalable, auditable systems. Collaboration with product, risk, and engineering teams is central, with a strong emphasis on resilience, explainability, and technical leadership.
This role involves leading the development and deployment of AI solutions across Citi's COO Technology portfolio, including defining the AI strategy, building a world-class engineering team, and delivering production-grade AI at scale. The position requires deep expertise in generative AI, agentic systems, and MLOps, with a focus on regulatory compliance and operational resilience.
This role involves leading and supporting the delivery of AI, GenAI, and Data Science projects across the full machine learning lifecycle. You will work closely with clients to understand their business challenges, deliver innovative solutions, and demonstrate the value of AI and advanced analytics through workshops and presentations.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their needs into technical designs and implementations. You will focus on generative AI, RAG, vector databases, and multi-agent systems, using platforms like OpenAI, Azure OpenAI, and Google Gemini.
Design and implement production-grade AI and ML systems, focusing on Agentic AI, RAG, and LangChain/LangGraph patterns. Establish engineering standards, improve observability and model risk controls, and drive adoption across engineering teams. Work within a regulated environment to enable safe, scalable AI solutions in production.
You will develop intelligent embedded systems using Python, C, and C++, apply machine learning and computer vision to real-world applications, and work with microcontrollers, sensors, and connected hardware. You'll collaborate directly with clients to shape and deliver innovative solutions, taking projects from concept to finished product.
This role involves building and maintaining backend applications using Node.js, developing APIs and database services, and integrating with banking and payments systems. You will also work on AI features like intelligent assistants and process automation, collaborating closely with product, design, and engineering teams.
This role involves designing and architecting enterprise-scale AI, data, and automation solutions, working closely with customers to translate their requirements into implementable designs. The Solution Architect will focus on generative and agentic AI, RAG, vector databases, and enterprise search, leveraging platforms like OpenAI, Azure OpenAI, Anthropic, and Google Gemini.
This role involves leading the development of an innovative software platform for industrial chimney design, integrating Eurocode-compliant design, advanced numerical modelling, and AI/ML-driven optimisation. You will work closely with academic experts, engineers, and software developers to establish a simulation-led design capability.
This role involves building and maintaining scalable Python libraries and tools that support machine learning engineers and researchers in training, evaluating, and scaling AI models. You'll work on creating robust abstractions for distributed training, data pipelines, and model evaluation workflows, with a focus on reliability, performance, and usability across large GPU clusters and cloud infrastructure. The position is embedded within an AI platform team driving autonomous driving technology development.
This role involves building AI and modelling products for M&A and advisory deals, working closely with senior bankers to translate their requirements into practical solutions. Responsibilities include developing generative AI, NLP, and statistical models, and delivering production-quality Python code.
Leads the end-to-end data strategy for autonomous driving AI, focusing on discovering and leveraging rare, safety-critical real-world driving data. Builds and scales global data systems across fleets, partners, and geographies to drive model performance improvements. Develops intelligent data selection, curation, and enrichment methods using embeddings, semantic search, and active learning.
