Sr. Solutions Engineer - AI Natives Business (AI)

TL;DR

Sr. Solutions Engineer - AI Natives Business (AI): Developing architectures and solutions for sophisticated data engineering and data science teams with an accent on big data, machine learning, and cloud integrations. Focus on implementing proof of concepts, guiding customers through the competitive landscape, and promoting open-source projects like Spark and Delta Lake.

Location: Remote (Must be based in California, Colorado, Oregon, or Washington)

Salary: $152,300 — $209,450 USD

Company

hirify.global is the data and AI company providing a Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

• Partner with sales teams to provide technical leadership and help customers solve complex business problems.
• Consult on Big Data architectures and implement proof of concepts for data engineering, data science, and ML workflows.
• Validate integrations with cloud services, internal tools, and other third-party applications.
• Collaborate with fellow Solutions Architects to support users and optimize platform adoption.
• Promote and recruit contributors for hirify.global-inspired open-source projects including Spark, Delta Lake, and MLflow.

Requirements

• 3+ years of experience in data engineering, data science, technical architecture, or pre-sales/consulting.
• Proven experience building distributed data systems.
• Proficiency in programming and debugging with Python and SQL.
• Hands-on experience building solutions with public cloud providers (AWS, Azure, or GCP).
• Expertise in Data Engineering (Spark, Hadoop, Kafka) or Data Science/ML technologies (pandas, scikit-learn, PyTorch, Tensorflow).
• Must be available to travel to customers within the assigned region.

Nice to have

• Degree in a quantitative discipline such as Computer Science, Applied Mathematics, or Operations Research.
• hirify.global Certification.

Culture & Benefits

• Comprehensive benefits and perks tailored to the employee's region.
• Work environment focused on diversity, inclusion, and equal employment opportunity.
• Opportunity to shape the future of the big data landscape working with world-class data teams.