Data & Solution Architect
Core
Design and govern enterprise data architectures enabling scalable, trusted AI solutions, including Generative and Agentic AI use cases.
Role type
Senior Data & Solution Architect (AI/ML focus)
Builds
Logical, physical, and semantic data architectures; AI-ready data models; MLOps pipelines; reference architectures for cloud/hybrid deployments.
Domain
Artificial Intelligence, Machine Learning, Enterprise Data Platforms, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture design, solution architecture, enterprise data platform management, AI/ML support, advanced analytics, federated governance, hub-and-spoke models, data profiling, data quality management, semantic modeling, MLOps, data sourcing, architectural guardrails definition, mentorship.
Preferred skills
Experience with Generative AI and Agentic AI patterns, ontology layer design, AI readiness scoring.
Technologies
Agentic AI, Cloud, MLOps, AI Architect tools
Responsibilities
Define and evolve enterprise data architecture for AI; design data models and structures for AI use cases; align data platforms and MLOps pipelines; establish data standards and metadata practices; architect data flows for POCs and sandbox platforms; guide data sourcing and readiness for AI teams; own data architecture stage-gate processes; architect integrations across source systems and AI services; evaluate and onboard new data sources; define reference architectures; mentor junior architects and engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
