At Cognizant we have an ideal 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. #WelcomeToCognizant
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.
• GenAI/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 LangGraph LangChain 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 NumPy scikit learn PyTorch or TensorFlow 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 OpenTelemetry 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 integral companies