Machine Learning Engineering Technical Leader
Core
Architect and lead the distributed AI platform connecting Cisco enterprise dashboards with agentic AI capabilities, ensuring robust identity, multi-tenancy, and security resilience.
Role type
Senior Technical Lead (Machine Learning Engineering)
Builds
Multi-service architecture of agentic orchestrators and high-throughput API gateways for real-time operational workflows.
Domain
Enterprise AI, Distributed Systems, Cloud Infrastructure
Deliverable
production ML models
Required skills
Distributed systems engineering, Go, Python, Identity & Security (OAuth 2.0/OIDC/JWT/mTLS), AI-SDLC, LLM orchestration frameworks, Agentic runtimes (ReAct), Model Context Protocol (MCP), Kubernetes, OpenTelemetry/APM
Preferred skills
API gateways, gRPC/protobuf, Distributed workflow engines (Temporal), Real-time event streaming (Kafka/SSE/WebSockets), Feature flags (LaunchDarkly), Vector databases (Weaviate/Milvus/Qdrant), Relational databases (PostgreSQL)
Responsibilities
Own architectural direction and cross-service technical execution, Author end-to-end technical specifications, Harden service-to-service communication with cryptographic identity signing, Lead CVE remediation and production triage, Mentor senior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
