Track Manager - Identity And Access Management, Service-Oriented Architecture

About the role

Advanced architectural and technical expertise across microservices, Kubernetes, Kafka, RabbitMQ, and secure cloud platforms such as GCP. It demonstrates proficiency in LLMs and Generative AI, including Gemini, Vertex AI, LangChain, and RAG pipelines, as well as mastery of data systems like PostgreSQL, Redis, and Pinecone.

What you'll do

• Architect end-to-end AI/GenAI solutions, including RAG pipelines, multi-agent orchestration, and A2A communication
• Define standards for LLM integration across platforms (Gemini, Vertex AI, OpenAI, Claude, Llama)
• Design and oversee development of MCP servers and orchestrated agent ecosystems
• Create microservices-based architectures with secure API gateways, rate-limiting, and observability
• Partner with product, client, and security teams to ensure Responsible AI compliance

What you need

• IAM
• LLMs
• Microservices
• GCP
• Compliance
• RabbitMQ
• Any graduate

Good to have

• PostgreSQL
• Kubernetes
• Kafka
• Redis
• Prompt engineering
• System design