Search the 12 jobs at Provectus

The AI Sales Executive will lead strategic AI initiatives, engage with clients to shape AI strategies, and drive new business through deep technical expertise. Responsibilities include managing client relations, supporting sales processes, overseeing project management, and developing partnerships with technology vendors to ensure successful AI deployment and revenue growth.

The AI Sales Executive at Provectus will combine technical expertise with a commercial focus to drive revenue through AI, Data, and Machine Learning solutions. Responsibilities include client engagement, sales support, project management, and developing strategic partnerships. This role aims to facilitate scalable AI deployments and enhance client satisfaction through innovative solutions.

The Data Engineer will work with multidisciplinary teams to address technical challenges, contribute to open source projects, and develop internal solutions. Responsibilities include building data pipelines, managing data sets, and collaborating with Data Scientists to enhance data products.

As a Senior Data Solutions Architect, you will lead the design and implementation of large-scale data solutions on AWS, collaborating with cross-functional teams to create scalable data platforms. You'll drive technical strategies, oversee project delivery, manage customer relationships, and mentor junior team members while staying updated on emerging technologies.

As a Solution Owner at Provectus, you will lead complex delivery projects across different industries, managing client engagements and ensuring successful project outcomes. The role involves guiding agile methodologies, aligning business and technical teams, and developing client-focused presentations. You will be responsible for overcoming challenges, risk management, and serving as a liaison with internal and client stakeholders.

As a Senior Data Solutions Architect at Provectus, you will lead the design and implementation of large-scale data solutions, focusing on the Databricks platform and AWS services. You will collaborate with teams, oversee project implementations, and mentor junior staff while promoting best practices in data architecture and governance.

The Senior Java Engineer will develop and maintain scalable Spring Boot applications, manage databases, CI/CD pipelines, and ensure code quality. Responsibilities include collaborating with teams, handling infrastructure with Terraform, and supporting cloud-native solutions on AWS, while also working on ReactJS tasks as needed.

Develop and maintain scalable Python applications and chatbot solutions, build RESTful APIs using frameworks, optimize and profile Python code, and collaborate with cross-functional teams to deliver high-quality AI technologies.

As a Java Tech Lead, you will lead the design and development of high-performance Spring Boot applications, oversee database management, implement CI/CD pipelines, and manage cloud-native solutions using AWS. You will also mentor a team of engineers and collaborate with cross-functional teams.

As a Senior Full-Stack Engineer Consultant, you will design, develop, and maintain web applications, mentor junior engineers, optimize REST APIs, and manage AWS infrastructure while contributing to solution architecture and conducting workshops with clients.

As a Senior Data Engineering Consultant, you will lead the implementation of cloud and AI solutions, drive architecture decisions, mentor junior engineers, and build strong client relationships to deliver innovative data solutions.

The Talent Acquisition Partner will manage full-cycle recruitment processes, collaborate with hiring managers to define recruitment needs, build talent pipelines, enhance candidate experiences, and represent the company at talent engagement events. The role emphasizes alignment with business goals and fostering an inclusive work environment.