Future Tech Jobs
Future Tech Jobs
You will lead the research, design, and implementation of security architecture for NVIDIA's next-generation networking products. This involves hands-on work with hardware and software, collaborating with internal and external teams to meet security standards and develop innovative solutions.
A Senior Architect in the Forward Deployed Engineering team at Databricks leads the design and implementation of production-grade data and AI solutions for strategic customers. This role involves deep technical engagement, from architecture to implementation, integrating Databricks' platform into client environments while ensuring scalability, security, and business impact. The position emphasizes customer empathy, cross-functional collaboration, and the creation of reusable assets that influence product direction.
As a Senior Specialist Solutions Engineer, you will guide customers in architecting production-grade ML applications on Databricks, aligning their technical roadmap with the Databricks Data Intelligence Platform. You will provide advanced technical support, lead deep-dive sessions, and serve as a trusted advisor for GenAI solutions, while also driving community growth through thought leadership activities.
NVIDIA is looking for an outstanding passionate and talented Senior SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security,...
Design and develop large-scale, cloud-based backend systems for automated in-store order fulfilment using Java/Scala and distributed systems. Drive technical initiatives, integrate AI tools into development workflows, and support production systems with a focus on resilience, scalability, and continuous improvement. Collaborate with product teams and mentor engineers in an agile environment.
This role involves designing and delivering AI-powered solutions for government and enterprise clients, spanning the full AI solution lifecycle. You'll work hands-on with technologies like Python and modern AI frameworks, translate business challenges into technical solutions, and engage directly with stakeholders to demonstrate and explain complex systems. The position emphasizes customer collaboration, innovation, and continuous learning in a fully remote, flexible environment.
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various...
Job DescriptionPurpose of the roleTo drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions...
As a Senior AI Engineer, you will design, build, and deploy AI-driven solutions that automate processes and reduce manual effort. You'll collaborate with development, QA, and IT teams to deliver impactful solutions, identify opportunities for AI application, and champion responsible AI practices.
The AI Engineer will work on cutting-edge financial technology projects, designing and integrating AI/ML solutions into production systems. Responsibilities include collaborating with engineering and product teams, optimizing LLM performance, and contributing to architecture and deployment workflows.
This role involves developing and deploying machine learning and AI models to support risk management, compliance, and contractor analytics. You'll work closely with engineering and product teams, using modern cloud technologies like AWS, Azure, and Microsoft Fabric to build scalable solutions.
This role involves designing, deploying, and maintaining machine learning models in production environments, with a focus on generative AI and LLM integration using techniques like fine-tuning, RAG, and prompt engineering. The engineer will collaborate with data and software teams to build scalable data pipelines and contribute to MLOps best practices, ensuring models remain performant and aligned with business needs. It offers a career-development-focused environment working on live AI systems rather than experimental projects.
Lead the creation and growth of an AI engineering function within a consultancy, designing and deploying production-grade Generative AI and LLM systems for enterprise clients. Combine strategic leadership with hands-on technical oversight to shape engineering standards, mentor a high-performing team, and drive the adoption of cutting-edge AI solutions at scale.
This role involves designing and developing enterprise-grade applications using .NET, .NET Core, and Python, while working on modern data platforms and cloud infrastructure. You'll collaborate with multidisciplinary teams to deliver high-quality solutions for leading insurance clients, focusing on scalability, security, and performance.
This role involves shaping the technical direction of AI engineering across an enterprise, focusing on Agentic AI and production-grade RAG systems. You'll establish engineering standards, design scalable vector retrieval architectures, and lead best practices in MLOps, deployment, and AI governance. The position requires strong influence skills to guide multiple engineering teams in adopting consistent, production-ready AI patterns.
