JOB DESCRIPTION
Key Responsibilities
AI Features & Implementation
- Lead the technical implementation of AI-powered features in DataHub, including automated data classification, PII detection, and sensitive data identification
- Architect and implement scalable ML pipelines for continuous learning and model updates
- Design and implement systems for model monitoring, validation, and performance tracking
- Guide the team in implementing privacy-preserving ML techniques and ensuring compliance with data protection standards
AI Infrastructure Strategy
- Shape the metadata framework needed to support enterprise AI systems, including model cards, lineage tracking, and deployment metadata
- Define standards for capturing and managing AI-related metadata, including training data versioning, model provenance, and deployment configurations
- Design systems to track and manage AI assets across the development lifecycle
- Develop best practices for AI observability and governance in enterprise settings
Technical Leadership
- Lead architectural decisions for AI systems integration within DataHub
- Mentor team members on ML engineering best practices and AI system design
- Collaborate with product management to define AI feature roadmap
- Work with customers to understand their AI infrastructure needs and challenges
Required Qualifications
- 8+ years of software engineering experience, with at least 4 years focused on ML/AI systems
- Strong experience with modern ML frameworks (PyTorch, TensorFlow) and MLOps tools
- Deep understanding of LLM deployment, fine-tuning, and operational considerations
- Experience with AI governance, including model monitoring, bias detection, and fairness metrics
- Strong background in data privacy and security, particularly in AI contexts
- Experience with enterprise AI deployment and infrastructure management
- Proficiency in Python and modern AI development tools
- Understanding of vector databases, embedding systems, and semantic search
- Experience with distributed systems and scalable architecture
Preferred Qualifications
- Experience working with DataHub is a huge plus!
- Experience building AI-powered features in enterprise SaaS products
- Background in data catalog or metadata management systems
- Familiarity with AI governance frameworks and standards
- Experience with AI infrastructure cost optimization
- Knowledge of regulatory requirements around AI systems
- Track record of building production ML systems
Essential Knowledge Areas
Deep understanding of enterprise AI infrastructure components
- Model serving platforms
- Vector databases
- Training infrastructure
- Feature stores
- Model monitoring systems
- AI governance tools
Familiarity with key considerations for enterprise AI deployment
- Cost optimization strategies
- Security requirements
- Compliance considerations
- Performance monitoring
- Resource management
- Model versioning and rollback strategies
Salary
Competitive
Monthly based
Location
, Decatur County, Kansas, United States, Kansas, United States
Job Overview
Location
, Decatur County, Kansas, United States, Kansas, United States
