Sr. Solutions Architect (AI)

TL;DR

Sr. Solutions Architect (AI): Designing and implementing big data and AI architectures for strategic customers with an accent on data engineering, machine learning, and SQL analysis. Focus on building proof-of-concepts, validating cloud integrations, and promoting open-source projects like Spark and MLflow.

Location: Remote (US). Candidates in Arizona, California, Colorado, Oregon, and Washington are encouraged, though other locations will be considered. Availability to travel to customers in your region is required.

Salary: $219,100 — $301,300 USD

Company

hirify.global is a 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

• Provide technical leadership to help customers solve business problems using the hirify.global platform.
• Consult on Big Data architectures and implement proof-of-concepts for data engineering, ML, and SQL workflows.
• Validate integrations with cloud services, home-grown tools, and other 3rd party applications.
• Collaborate with other Solutions Architects to support users and develop technical champions.
• Promote and recruit contributors for hirify.global-inspired open-source projects including Spark, Delta Lake, and MLflow.

Requirements

• 7+ years in data engineering, data science, technical architecture, or pre-sales/consulting roles.
• Experience building distributed data systems.
• Proficiency in programming and debugging with Python and SQL.
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP.
• Expertise in either Data Engineering technologies (e.g., Spark, Hadoop, Kafka) or Data Science/ML technologies (e.g., pandas, scikit-learn, pytorch, Tensorflow).
• Must be available to travel to customers within your 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 specific region.
• Inclusive culture committed to diversity and equal employment opportunity.
• Opportunity to work with the most sophisticated data engineering and data science teams globally.