Data Scientist; Snowflake/Cortex AI
Listed on 2026-09-15
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Data Engineering, Machine Learning/ ML Engineer
Anywhere in US (DC, MD, VA is preferred), United States | Posted on 08/14/2026
- City Anywhere in US (DC, MD, VA is preferred)
- Country United States
Brite Systems is a Salesforce Summit Partner delivering cloud, AI, and digital transformation solutions for public sector, healthcare, nonprofit, and commercial organizations. We specialize in Salesforce implementations, enterprise modernization, AWS cloud-native solutions, and AI-driven platforms that help organizations improve operational efficiency and service delivery. With a strong focus on innovation, collaboration, and customer success, Brite Systems continues to support organizations across the U.S. in building scalable and impactful technology solutions.
Job DescriptionAbout Brite Systems
Brite Systems Inc. is a U.S.
-based, AI-led digital transformation company. Since
2006, we have helped government and nonprofit organizations modernize their technology, improve operations, and deliver better outcomes for the communities they serve.
Headquartered in Indianapolis, Brite brings together expertise across Salesforce, AWS,Mule Soft, AI, and our proprietary Enlite Accelerator to solve complex challenges and create meaningful impact.
AtBrite, you’ll be part of a collaborative, people-first team where innovation,continuous learning, and meaningful work come together. We’re proud to be recognized among Indiana’s fastest-growing companies, named to the Inc. 5000list of America’s fastest-growing private companies, and recognized as a Great Place to Work in Indiana for seven years.
Join Brite to build innovative technology, grow your career, and make a difference.
Job DescriptionThe Data Scientist establishes client's AI and automation readiness capability, building Snowpark ML and Snowflake Cortex AI workloads that execute entirely inside the governed Snowflake environment, consistent with the SOW's requirement that AI and ML workloads never move data outside the accredited boundary.
Responsibilities
- Designand build Snowpark ML and Cortex AI workloads that support predictive analytics and intelligent automation use cases.
- Ensureall AI/ML workloads execute in-platform, preserving client's data residency and accreditation boundary requirements.
- Partner with the Database Architect and Data Engineers to ensure governed, high-quality data feeds AI/ML pipelines.
- Support use case execution and AI-readiness deliverables during the Build phase (Weeks9–26) and expand capability during the Scale phase.
- Document model design, assumptions, and performance for client review and COR acceptance.
- Advisethe Engagement Lead and IT Business Analyst on AI-enabled use cases during backlog prioritization.
- Experience with S3 External Stages and secure AWS-to-Snowflake data movement.
- Knowledge of AWS KMS encryption and high-volume Snowflake ingestion patterns.
- Understanding of Mule Soft data consumption and integration architectures.
- Bachelor'sor Master's degree in Data Science, Computer Science, Statistics, or a related field.
- 6+years of applied data science / machine learning experience, including production model deployment.
- Hands-on experience with Snowflake Cortex AI and/or Snowpark ML required.
- Strong Python and SQL skills.
- Understanding of federal AI governance and data security constraints (FedRAMP, FISMA) and experience operating within them.
- Experienceproductionizing ML solutions in a regulated or government environment preferred
Work Type
Remote / Hybrid (mostly work remote with occasional in-person meetings)
Brite Systems is an Equal Employment Opportunity and Affirmative Action Employer.
Qualified applicants will receive consideration for employment without regardto race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
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