AI Architect
oraclecloud
Job Description
- Design and implement multi‑agent orchestration frameworks for autonomous negotiation, task delegation, and state management.
- Architect and develop scalable Model Context Protocol (MCP) servers and clients for secure LLM integration with data sources and enterprise tools.
- Define the architectural vision for Zensar's internal AI platform, ensuring high throughput, low latency, and seamless developer workflows.
- Write production‑ready code, build prototypes, and establish engineering best practices for AI application development.
- Standardize architectural patterns across the organization and author comprehensive RFCs.
- Mentor junior engineers and foster a culture of technical excellence.
- Collaborate with product, security, and operations teams to align AI solutions with business goals.
- Evaluate and integrate emerging AI SDKs, vector databases, and RAG pipelines.
- Drive performance tuning, scalability testing, and reliability engineering for AI services.
- Communicate complex technical concepts clearly to both technical and non‑technical stakeholders.