Top Software Engineer Jobs

The Senior AI Applied Scientist/Engineer will prototype AI solutions, evaluate AI systems, and stay updated with industry trends. This role involves collaborating with various teams, assessing performance, and contributing to knowledge sharing on AI advancements.

As the Vertical Sales Lead for AI solution providers, you will drive sales growth in the Americas by executing sales strategies, building and leading a high-performing account team, and fostering relationships with customers and partners. Your focus will be on promoting D-Wave’s Quantum AI solutions and ensuring a strong pipeline of business opportunities.

Seeking a savvy and innovative AI Engineer to build artificial intelligence products. Responsibilities include developing machine learning and deep learning systems, applying natural language processing and generative AI, and mentoring other engineers. Requires 7 years of experience in leading machine learning system designs and a Bachelor's degree in computer science or related field.

Join Citi's Common Platform Engineering team to design and build high-quality, reliable software and run the Generative AI platform. Partner with development teams, quants, and subject matter experts to ensure platform compliance with security measures. Requires experience in Python, AI/ML, CI/CD, MLOps, and system architecture. Bachelor's degree and 5-8 years of experience in software engineering management.

Join Citi's Common Platform Engineering team to build and run the Generative AI platform, addressing large-scale engineering challenges with AI/ML and toolchains. Design and innovate high-quality software compliant with Citi's security standards. Ideal for experienced platform engineers with a passion for Generative AI.

Join Citi's Common Platform Engineering team to design and build a Generative AI platform, partner with development teams, ensure compliance with security processes, and innovate the platform at scale. Requires 6-10 years of experience in Apps Development, strong coding skills, and expertise in AI/ML technologies.

Abbott is seeking a Principal AI Engineer with 10 years of experience in leading the design and architecture of machine learning systems. The role involves developing machine learning and deep learning systems, applying natural language processing and generative AI, and mentoring other engineers in the field.

The Generative AI/Cloud Engineer will lead application systems analysis and programming, integrating functions to enhance products and processes. Responsibilities include evaluating complex business processes, providing application design expertise, coaching developers, and ensuring compliance with regulations. The role demands strong leadership and project management skills, alongside an ability to swiftly adapt to technology changes.

The Solutions Architect will design and implement cloud architecture solutions focusing on Ubitus, Tencent Cloud, and AWS. Responsibilities include cloud services integration, providing technical leadership, collaborating with customers on AI requirements, and maintaining technical documentation. The role also involves customer engagement through workshops and training, alongside travel for support and industry events.

As a Software Engineer on the AI Decisioning team, you will design and build scalable backend systems and ML infrastructure, develop AI-driven features for decision automation, and collaborate with machine learning engineers to implement innovative techniques.

The Data Analytics and AI Solutions Lead will design scalable AI and data analytics solutions, discover new business opportunities, manage stakeholder relationships, and drive continuous improvement in processes and methodologies. This role requires collaboration with senior executives and a strong understanding of financial services to effectively implement innovative data-driven solutions.

The Reserve Engineer at Cobalt Robotics will learn about and service robot hardware, respond to hardware failures at client sites, and assist with field operations and new deployments. Excellent communication skills and a passion for robotics are essential, as is a commitment to customer service.

The Head of Data Science and AI is responsible for driving innovation in Ai and data science at Socure, focusing on developing machine learning models, leading cross-functional collaboration, overseeing advanced data strategies, and mentoring technical teams to enhance AI-driven solutions.

The role involves designing and building reliable software, collaborating with various teams, ensuring compliance with security and SDLC processes, and innovating within a large-scale Generative AI platform.

The Generative AI/Cloud Engineer will lead application system implementations, analyze complex business processes, provide expertise in programming, and serve as an advisor to developers. Responsibilities include project management, developing system standards, and ensuring compliance with regulations. The engineer will work on various technology initiatives related to generative AI and cloud.

As a Software Architect in AI, you will design and oversee AI solutions, select appropriate technologies, establish coding standards, collaborate on testing strategies, monitor performance metrics, and innovate to enhance architecture and user experience.

As a Sales Engineer at Aethir, you will collaborate with the Enterprise AI Sales team to showcase the GPU-as-a-service platform. Responsibilities include understanding customer needs, conducting technical presentations, and developing proposals to support successful AI deployments. You will also provide technical support during the sales cycle and stay updated on AI advancements.