We’re hiring At Cognizant we have an idóneo opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #Welcome To Cognizant
We are looking for an AI/AIOps Engineer Core requirements (all needed) Production AI ML around 3+ years designing building and supporting ML or LLM systems used by real users in production. POCs demos and coursework alone are not sufficient. Gen AI/LLM engineering: RAG (chunking hybrid search re ranking) embeddings and vector search tool/function calling structured outputs and handling of incorrect or unsupported answers. Agentic AI agents or multi-step automations with Lang Graph Lang Chain Semantic Kernel or similar including tools guardrails human approval and audit of actions.
Evaluation defined evaluation sets and metrics measured accuracy or error rates and improved a system based on the results. AIOps / anomaly detection: time-series anomaly detection and alert-noise reduction on metrics logs or events. Python production code with tests (Pandas Num Py scikit learn Py Torch or Tensor Flow where relevant). Production troubleshooting: live incidents on Linux (CPU memory disk network) Java (heap GC thread dumps) and Python. Observability tools Splunk (SPL dashboards alerts) plus one of Prometheus Open Telemetry Dynatrace or similar. RCA/AIOps tooling has built or contributed significantly to RCA AIOps or incident-analysis tooling. Why Cognizant? Improve your career in one of the largest and fastest growing IT services providers worldwide
Receive ongoing support and funding with training and development plans
Have a highly competitive benefits and salary package
Get the opportunity to work for leading global companies
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