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 enhancing AI-driven document processing capabilities using Python, working closely with cross-functional teams to deliver scalable and robust solutions. The engineer will focus on building and maintaining core components of the IDP platform, contributing to the product roadmap and exploring the latest AI technologies.
Design and manage enterprise AI platforms, intelligent agents, and automation workflows across cloud and on-prem environments. Develop scalable AI architectures, RAG applications, and multi-agent systems while ensuring security, compliance, and integration with business systems. Collaborate with stakeholders to drive AI adoption and translate technical capabilities into business value.
You will design and develop cutting-edge agentic AI systems, build LLM-powered applications, and contribute to the architecture of a proprietary AI platform. The role involves close collaboration with product and engineering teams to embed AI into real-world business processes, with a focus on innovation and greenfield development.
Lead the design and deployment of scalable AI and generative AI solutions, including LLM-based applications for enterprise search, document summarization, and conversational AI. Drive innovation through retrieval-augmented generation (RAG) architectures and mentor engineering teams in transformer models and prompt engineering. Collaborate across data, ML, and business teams to deliver measurable impact using cloud AI platforms and MLOps practices.
The Senior AI Engineer will work on developing and deploying large language models (LLMs) into a Legal Tech SaaS platform. They will join a high-performing engineering team focused on reliability, performance, and error prevention, using technologies like AWS, Lambda, Hugging Face Transformers, and Python.
This role involves engaging with technical founders, CTOs, and VPs at high-growth UK startups to position Databricks as a strategic data and AI platform. The Lead Solutions Architect will lead technical discovery, drive ecosystem relationships with VCs and accelerators, and act as a thought leader in Generative AI and modern data architecture. They will also mentor other SAs and represent Databricks at technical events and meetups.
A Senior Machine Learning Engineer in the Smarties team at Ocado will own the full ML lifecycle for production systems powering intelligent features like recommendations, search ranking, and customer personalisation. The role focuses on building scalable, reliable ML infrastructure while improving data quality and enabling product teams to integrate AI capabilities self-serve. Work spans MLOps, model design, experimentation, and cross-functional collaboration within a high-engineering-culture environment.
This role involves designing, developing, testing, and deploying front-end and back-end components of Generative and Agentic AI applications. You will work with a tech-obsessed team, translating complex business challenges into AI-powered solutions and collaborating with cloud architects, data scientists, and product managers to take ideas from concept to production.
As an Internal AI Engineer at ElevenLabs, you will design and implement AI-driven workflows to automate manual processes across various teams. You will work closely with business owners to identify pain points, build solutions, and ensure the reliability and safety of AI systems. Your role involves integrating AI tools with core business systems and developing reusable automation services.
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.
As an AI Engineer on Citi's Startups & Partnerships team, you will build and deploy production-grade AI applications, evaluate emerging AI technologies, and integrate solutions across the enterprise stack. You'll work closely with business stakeholders and startups to rapidly prototype and deliver impactful AI solutions at a global scale.
This role involves leading the development and deployment of AI-driven solutions across Citi's Fund Services lifecycle, from client onboarding to reporting. The Product Manager will drive AI use cases from prototype to production, working closely with engineering and operations teams to transform manual processes into intelligent, automated systems. Key focus areas include intelligent document processing, proactive controls, agentic AI, and enhancing client experience through cutting-edge AI technologies.
