Future Tech Jobs
Future Tech Jobs
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the...
Lead the development of AI-powered tools for Capital Markets professionals, focusing on enhancing deal execution, financing workflows, and client service through innovative applications of artificial intelligence. Define product vision, drive technical strategy, and bridge business needs with engineering execution in a high-impact role at a global financial institution.
This role involves developing and deploying automated machine learning pipelines for insurance risk modelling and pricing. The engineer will tune and maintain ML models using DevOps and MLOps practices, apply test-driven development, and work closely with data science teams to improve product offerings across motor, home, and commercial lines. The position also includes mentoring junior engineers and contributing to a culture of technical excellence.
This role involves leading end-to-end cloud migration projects for enterprise customers, designing secure and scalable AWS solutions, and acting as a technical advisor throughout the cloud adoption journey. The consultant will assess on-premises environments, plan migration waves, and implement best practices in modernization and management. Emphasis is placed on collaboration with stakeholders, risk management, and knowledge sharing through reusable deliverables and mentoring.
The Director of Revenue Operations will lead the design and implementation of commercial systems to support sales and customer success. Key responsibilities include defining GTM standards, revenue planning, pricing execution, and building a data-driven performance culture. The role involves hands-on transformation, leveraging AI and automation to streamline processes and improve commercial outcomes.
Designs and governs enterprise data architecture across operational and analytical domains, ensuring alignment with strategic standards and principles. Works across underwriting, claims, actuarial, and data teams to integrate systems and enable scalable data pipelines on Azure and Snowflake. Leads data modelling, ETL/ELT design, and cloud modernisation while supporting AI initiatives and regulatory reporting.
This role involves developing and deploying machine learning models to enhance TradingHub’s market surveillance and analytics platform. You will work closely with quantitative developers, data engineers, and product teams to productionize models and improve the accuracy of trader behavior analysis.
As an AI Assurance Technical Expert, you will lead hands-on assessments of AI systems to ensure they are trustworthy, scalable, and compliant. You will collaborate with cross-functional teams to embed best practices in AI engineering, governance, and assurance, while translating complex technical insights into actionable guidance.
This role involves leading the design and development of AI services within Citi's Innovation Labs, managing a team of engineers and data scientists, and driving innovative AI projects across the bank. You will work with internal and external stakeholders to deliver complex solutions and ensure best practices in governance and risk management.
This role involves deploying and maintaining cloud infrastructure for AI and machine learning solutions, building CI/CD pipelines, and supporting the setup of tools for model training and inference. You will work closely with data scientists and engineers to deliver scalable and secure solutions, with a focus on AWS and GenAI projects.
The AI Engineer will design and implement a customer-facing AI compiler and interface for financial market analytics using natural language. Responsibilities include building a multi-layered AI agent, integrating AWS Bedrock, and developing frontend components to present AI outputs and user interactions.
As a Technical Product Manager, you will lead the development of Citi's enterprise AI platforms, bridging the gap between technical teams, product leadership, and business stakeholders. You will drive innovation, manage complex projects, and translate technical concepts into business value, all while operating in a fast-paced, agile environment.
This role involves designing and enhancing systematic trading components for Citi's Cash Equities Central Risk team. You will work closely with traders, risk managers, and technology partners to optimize execution, internalization, and risk management, using advanced analytics and production-quality code.
This role involves designing and prototyping AI-driven solutions for investment research workflows, leveraging machine learning, large language models, and multi-agent systems. The engineer will collaborate with research analysts and technical teams to translate business needs into scalable AI applications, develop proof-of-concepts, and support enterprise integration of AI in content discovery, generation, and distribution. The position operates at the intersection of advanced AI, cloud engineering, and financial research, with a focus on delivering measurable business impact.
Lead the creation and execution of a cutting-edge AI function within a global investment firm, developing advanced machine learning and large language model systems to generate investment insights and alpha. Build and manage a team of AI researchers and engineers, design scalable AI platforms, and collaborate directly with portfolio managers and quantitative researchers to integrate AI into investment decision-making workflows. Focus on deploying agentic AI systems, retrieval-augmented generation, and frontier AI technologies in a real-world financial context.
