Top Software Engineer Jobs

The Senior Solutions Architect will lead AI/ML projects, educate clients, and create custom software solutions. Responsibilities include conducting technical assessments, producing project estimates, collaborating on documentation, providing technical training, and leading workshops. The candidate will need strong cloud platform expertise and AI/ML knowledge to ensure successful project implementations that drive business value.

The Supply Chain AI Specialist will develop and implement GenAI solutions for supply chain challenges, manage large datasets, train and evaluate models, deploy them to existing systems, and collaborate with cross-functional teams. Staying updated with industry trends and contributing to research are also key responsibilities.

The Staff Software Engineer will integrate emerging AI technologies and build proprietary developer tools to enhance member experiences at Spring Health. Responsibilities include collaborating in a team, mentoring engineers, and providing technical direction to the organization.

As a Senior Software Engineer at Spring Health, you'll integrate AI technologies into member experiences, build developer tools, and innovate on feature roadmaps. You'll be a technical leader, collaborating with engineers, PMs, and designers to deliver high-quality experiences efficiently while mentoring team members.

The role involves coordinating with government and contractor teams to implement AI/ML technologies in space systems. Responsibilities include identifying opportunities in acquisitions, developing governance strategies, and enhancing infrastructure for optimized utilization of AI/ML. The engineer will facilitate communication with stakeholders and support various phases of system integration and testing.

As a Federal Account PreSales Hardware Architect, you will configure hardware clusters for HPC and AI workloads, architect solutions, mentor team members, and build customer relationships by aligning technology with business needs. You will support government accounts and contribute to solution designs to ensure growth and success in customer engagements.

The Reserve Engineer at Cobalt Robotics is responsible for servicing and maintaining robot hardware while providing exceptional customer support. This involves troubleshooting hardware failures, assisting with robot deployments, and communicating effectively with both technical and non-technical team members. The role requires flexibility in scheduling and a commitment to customer satisfaction.

You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.

In this role, you will work with a cross-functional team to design, develop, and deploy AI software for banking applications. Responsibilities include leveraging AI technologies, optimizing large language models, and contributing to the technical vision of foundational AI systems at Capital One.

The IPA Developer role focuses on automating business processes using RPA, ML, and AI. Responsibilities include developing automated solutions, advising on automation strategies, managing the lifecycle of RDLC, integrating ML tools, and collaborating with cross-functional teams for feature development.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

The Global Head of AI Solutions Sales at Atlassian will lead the sales strategy for AI offerings, collaborate with various teams, manage a sales team, establish relationships with senior clients, and oversee the sales cycle and revenue forecasting.

As an AI Engineer at Capital One, you'll design, develop, and support AI software components, partner with cross-functional teams to deliver AI-powered products, and contribute to the technical vision and roadmap of foundational AI systems.

The role involves managing product roadmaps, collaborating with stakeholders on deployment plans for data and analytics solutions, establishing KPIs to measure success, and promoting data-driven culture within the organization. The individual will act as a liaison between the business and technical teams, ensuring clear communication and understanding of complex data concepts.

The Senior ML Generative AI Scientist will design, develop, and implement generative AI models for healthcare applications, collaborating across teams to ensure AI integration in products. The role focuses on enhancing technical capabilities, conducting research on generative AI techniques, and participating in the healthcare and AI communities to drive innovation and improve patient care.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.

The Solution Architect will partner with the sales team to drive Cloudflare's AI/Developer Platform solutions, presenting to customers and collaborating with cross-functional teams to refine product offerings. Responsibilities include guiding clients, developing proof of concepts, and enhancing sales strategies to increase revenue and customer adoption.