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Job Description: AI Architect – Infrastructure & Cloud
Title: AI Architect
Level: Senior Manager
Experience: 16-18 years

Role Summary
We are looking for an AI Architect to sit at the intersection of Infrastructure and Artificial Intelligence — someone who can design, build, and operationalize AI/LLM/Agentic solutions that solve real infrastructure problems: capacity planning, incident response, observability, automation, cost optimization, and resiliency engineering. This is not a pure research role — it's an applied engineering + architecture role for someone who can code, ship, and integrate AI into production infra workflows.

Key Responsibilities





Architect and deliver AI/ML/LLM-based solutions embedded into infrastructure operations (ITOps/AIOps, self-healing systems, predictive capacity, automated RCA)
Design and build agentic AI workflows (multi-step, tool-using agents) for infra automation — ticketing, monitoring, remediation, provisioning
Evaluate, fine-tune, and integrate LLMs (open-source and commercial: OpenAI, Anthropic, Azure OpenAI, local/open models) into enterprise infra tooling
Build RAG pipelines, vector databases, and knowledge-grounding systems over infra documentation, runbooks, and CMDB data
Write production-grade code (Python primarily; scripting in Bash/PowerShell) — this role codes, doesn't just design PPTs
Integrate AI solutions with cloud platforms (Azure/AWS/GCP), ITSM tools (ServiceNow), observability stacks (Datadog, Splunk, Prometheus/Grafana), and CI/CD pipelines
Define and enforce AI governance guardrails — data privacy, model security, hallucination control, cost/token management

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