Principal Engineer – AI and Data Science

• Be responsible for providing technical leadership and defining, developing, and building our next generation data fabric system with focus on semantic modeling, data catalog development, data access and integration layers software in a fast paced and agile development environment
• Drive innovation in our database systems and drive next level of performance, correctness, durability, and scalability of our data systems by bringing in AI and next generation modeling technologies
• Feel passionate about developing high performance distributed systems with focus on key database concepts like concurrency control, consensus algorithms, replication, serializability theory, and view maintenance
• Work on developing next generation AI technologies such as Text Mining, Machine Learning, Deep Learning to improve product capabilities and development processes
• Provide guidance to developers with either planning and execution and/or design architecture using agile methodologies such as SCRUM
• Work with Product Line Leaders (PLLs) to understand product requirements & develop a strategy and vision
• Capture system level requirements by brainstorming with CTO, Sr. Architects, Data Scientists, Businesses & Product Managers
• Leads impact assessment and decision related to technology choices, design /architectural considerations, and implementation strategy
• Subject matter expert in AI, data quality, data systems and related technologies with ability to adapt and improvise in various situations. Expert in navigating through ambiguity and prioritizing conflicting asks
• Expert level skills in design, architecture, and development, with an ability to take a deep dive in the implementation aspects if the situation demands
• Expert in core areas of semantic modeling, data structures, knowledge graph technologies and can implement them using language of choice when necessary – as a value offering

• Master’s Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum 18 years of experience
• Must have experience building systems or components of AI system including semantic modeling, distributed data management software
• Have deep mastery of at least one of: C#, C/C++, Java, Kotlin, Rust, Scala, or other systems/primary enterprise language that is used in data systems

• Experience in working in industrial environments is a strong plus
• Working on data system across multiple operating systems/cloud environments is considered strong plus
• Advanced degrees such as PhD specially in AI, distributed computing or data systems is strong plus

Relocation Assistance Provided: Yes