Role Summary
The Agentic AI Platform Engineer builds scalable, reusable, production-grade agentic infrastructure components. This role focuses on creating standardized Agentic AI constructs — including MCP servers, connectors, agent orchestration templates, memory frameworks, evaluation pipelines, and deployment patterns — with enterprise-grade MLOps discipline.
Key Responsibilities
- Agentic Platform Engineering (Build reusable Agentic components):
- MCP (Model Context Protocol) servers, MCP registries, MCP gateways
- Data Connectors (SQL, Databricks, NetDocs, APIs)
- Tool orchestration frameworks
- Memory & context management services (Short term, long term memory)
- Create standardized agent templates for common agent patterns
- LLM & Agent Orchestration (Design & deploy agents:
- Multi-agent architectures and design patterns
- Design Tool invocation frameworks, memory management framework
- Define and implement guardrails and policy enforcement at runtime.
- MLOps & AI Engineering
- Implement CI/CD for AI agents.
- Manage model lifecycle using:
- MLflow, Model registry, Version control for prompts and agents
- Establish: Evaluation pipelines, Observability, Latency monitoring, Hallucination detection, Security testing
#J-18808-Ljbffr
