Agentic AI Architect
Core
Designing and building an enterprise agentic AI foundation, separating shared capabilities from data management and delivery use cases.
Role type
Senior IC Agentic AI Architect
Builds
Enterprise agentic AI platforms, agent orchestration systems, and industrialized AI capabilities
Domain
Artificial Intelligence, Agentic AI, Cloud, Data Management
Deliverable
production ML models
Required skills
Python, agent orchestration, API integration, MCP, retrieval and grounding, evaluation, observability, lifecycle management, data governance, security, privacy, AI risk management
Preferred skills
Buy-versus-build analysis, prototype-to-production scaling, stakeholder management
Technologies
AWS, Azure, GCP, Databricks, Snowflake
Responsibilities
Define target architecture for agentic AI foundation, assess existing AI initiatives for maturity and reuse, benchmark against market practices, build proof of concept with agents and evaluation pipelines, work with stakeholders in decision sessions, transfer knowledge via pairing and documentation
Seniority
Senior, hands-on IC
