IT Architect Data and AI - R&D IT
Tasks
- Architect machine learning deployment workflows
- Assess cost latency and data residency tradeoffs
- Collaborate with global stakeholders to translate needs into roadmaps
- Define Data and AI architecture vision and roadmap
- Design GenAI lifecycle hosting and model management
- Design real-time and batch data pipelines
- Design scalable, secure data architectures
- Drive development of AI ready data platforms
- Establish data governance metadata and lineage
- Evaluate new tools via proofs of concept
- Guide technical decision making for data and AI platforms
- Implement RAG pipelines and vector search
- Lead enterprise security privacy and compliance alignment
- Mentor engineers and data professionals
- Provide architectural oversight for implementation workstreams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | Amazon Web Services | Apache Flink | Apache Spark | Artificial Intelligence | Azure | Cloud Computing | Cloud Native | Cloud Native Architecture | Cloud platform | Data Architecture | Data Governance | Data Lineage | DataOps | DevOps | Distributed Computing | Embeddings | Feature Store | Google Cloud | Google Cloud Platform | Hadoop | Kafka | Knowledge graphs | MLOps | Machine Learning | Metadata Management | Prompt engineering | Retrieval-Augmented Generation | Vector Databases | Vector Search | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Data Architect | Software Architect
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