We're hiring
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
- We are committ