As a Forward Deployed AI Engineer, you'll design scalable solutions for clients using Skypoint AI Platform, Databricks, and Python. Responsibilities include data integration, optimizing AI applications, and communication with clients. Strong project management and data modeling skills are essential.

As a Technical Writer, you will develop and update technical content, ensure its accuracy through product testing, and incorporate customer feedback. Collaborating with leadership and product teams, you will create user-centric documentation including guides and knowledge articles, adhering to content plans and schedules.

As a Technical Product Manager at Skypoint, you will lead the product lifecycle management for the data and AI platform, focusing on market demands and technology trends. Your role includes collaborating with teams, maintaining technical documentation, creating user stories, and ensuring product compliance with privacy standards.

The Senior AI Engineer at Skypoint will develop and deploy Generative AI models for healthcare and financial services, collaborate on AI systems and MLOps pipelines, mentor team members, and manage the technical roadmap. The ideal candidate will possess strong programming skills and extensive experience in machine learning frameworks.

The AI Data Architect at Skypoint will design scalable data solutions, leverage advanced cloud technologies, and drive data strategy to enhance business intelligence and analytics. Responsibilities include developing data pipelines, ensuring data quality and governance, and mentoring teams to build effective data infrastructures.

As a Senior Data Engineer at Skypoint, you will maximize the value of data, building and scaling the Skypoint Lakehouse and data pipelines, implementing DataOps methodologies, and optimizing queries. Your role will involve collaborative work on cutting-edge data infrastructure with a focus on continuous learning.

The Lead DevOps Engineer will design, develop, and implement DevOps solutions on Microsoft Azure, focusing on CI/CD pipelines, Infrastructure as Code, and containerization. The role involves collaborating with stakeholders, managing Azure governance, and driving innovation in cloud solutions.