Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

- Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks

- Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights

- Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)

- Build and integrate LLM-powered copilots and autonomous agents for operations

- Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns

- Translate business needs into AI-driven product features and accelerators

- Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:





- Strong experience in product architecture and full-stack engineering

- Hands-on expertise in:

- AI/ML (model development, inference, MLOps)

- LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)

- Data engineering (streaming, batch, real-time analytics)

- Proficiency in Python and modern frameworks

- Experience with cloud platforms (AWS, Azure) and cloud-native architecture

- Agent framework experience – Microsoft agent framework, langgraph and langchain.

- Robust understanding of:

- Observability systems (logs, metrics, traces)

- AIOps / IT operations platforms

- API design and microservices architecture

- Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

- Experience building autonomous AI agents for IT/network/application operations

- Exposure to FinOps, Cloud Cost Optimization,

- Knowledge of network topology, infrastructure ops, or ITSM tools

- Experience with real-time decisioning systems and event correlation engines

📌 Application Architect (India)
🏢 Recognized
📍 India