Herbalife · 6 hours ago
Data Architect, AI
United States
Full-time
Remote
Senior Level
$159K/yr - $176K/yr
7+ years expHerbalife is a company focused on health and wellness, and they are seeking a Data Architect specializing in AI. This role is responsible for designing and implementing robust data architectures that support AI/ML initiatives, ensuring data quality, accessibility, and governance for machine learning pipelines.
Dietary SupplementsFitnessHealth CareNutrition
Responsibilities
Design end-to-end data architectures specifically optimized for AI/ML workloads and use cases
Develop data strategies that support AI initiatives, including data acquisition, storage, processing, and serving
Architect scalable data pipelines for ingesting, redefining, and preparing data for machine learning
Design feature stores and data platforms that enable efficient feature engineering and model training
Implement data quality frameworks and monitoring to ensure high-quality training and inference data
Establish data governance practices for AI/ML, including metadata management, lineage tracking, and versioning
Design storage solutions optimized for AI workloads, considering performance, cost, and scalability
Architect real-time and batch data processing systems to support various ML use cases
Collaborate with data scientists to understand data requirements and optimize data access patterns
Implement MLOps data infrastructure, including model training pipelines, experiment tracking, and model registries
Evaluate and select appropriate technologies for AI data infrastructure (databases, data lakes, processing frameworks)
Ensure data security, privacy, and compliance for AI/ML systems, including sensitive data handling
Design monitoring and observability solutions for data pipelines and ML data flows
Optimize data infrastructure costs while maintaining performance and reliability
Document data architectures, data flows, and build patterns for team reference
Make strategic decisions on technology choices, architectural patterns, and infrastructure design for AI/ML systems
Qualification
Required
7+ years of progressive experience in data engineering and architecture with significant focus on AI/ML infrastructure; proven success designing large-scale data systems
Data architecture and modeling for AI/ML workloads
Data engineering and ETL/ELT pipeline development
Data processing technologies (Spark, Kafka, Airflow, Hadoop ecosystem)
Cloud data platforms (AWS, Azure, Google Cloud data services)
Database systems (SQL, NoSQL, vector databases, graph databases)
Proven track record of designing and implementing scalable data architectures for AI/ML
Deep understanding of data requirements for different types of ML models and workflows
Experience with feature engineering infrastructure and feature stores
Solid understanding of data governance, quality, and security practices
Ability to balance technical requirements with business needs and constraints
MLOps platforms and practices (Kubeflow, MLflow, SageMaker)
Real-time streaming architectures for AI applications
Data versioning and lineage tools (DVC, Great Expectations)
Vector databases for AI applications (Pinecone, Weaviate, Milvus)
Container orchestration (Kubernetes, Docker)
Infrastructure as code (Terraform, CloudFormation)
Understanding of ML model requirements and deployment patterns
Experience with data privacy techniques (differential privacy, federated learning)
Minimum: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field
Preferred
Master's degree in Computer Science, Data Science, or related field; combination of deep technical expertise and strategic thinking
Certifications: Cloud architect certifications (AWS Solutions Architect, Azure Solutions Architect, Google Cloud Architect), data engineering certifications valuable
Equivalent Experience: 10+ years of hands-on experience designing and implementing data architectures for AI/ML with proven track record of scalable systems may substitute for advanced degree
Benefits
Group Health Programs
Other Voluntary Benefit Programs
Paid Time Off
Medical
Dental
Vision
Health Savings Account (HSA)
Flexible Spending Accounts (FSA)
Basic Life/AD&D
Short-Term and Long-Term Disability
Employee Assistance Program (EAP)
401(k) plan
Wellness Incentive Program
Employee Stock Purchase Plan (ESPP)
Supplemental Life/Critical Illness/Hospitalization/Accident Insurance
Pet Insurance
Company-observed U.S. Holidays
Floating Holidays
Vacation
Sick Time
Volunteer Program
Paid Maternity and Paternity Leave
Bereavement Leave
Personal Leave
Time off for voting
Company
Herbalife
Herbalife is a nutrition company that offers dietary supplements and products for individuals and distributors.
5001-10000 employees
H1B Sponsorship
Herbalife has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (12)
2023 (28)
2022 (27)
2021 (7)
2020 (96)
Funding
Current Stage
Public CompanyTotal Funding
$3.1B2024-04-05Post Ipo Debt· $800M
2022-12-05Post Ipo Debt· $250M
2020-05-29Post Ipo Debt· $600M
Leadership Team
John DeSimone
Chief Financial Officer
Phil Carlson
Director of Global Corporate Security
Recent News
EIN Presswire
2025-12-24
Company data provided by crunchbase