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Location
Remote (Mexico)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 15, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
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Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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 global companies

We are committed to respecting human rights and build a better future by helping your minds and the environment

We invest in people and their wellbeing.

We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.

Igualdad de Empleo y Política de Acción Afirmativa:

Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.

At Cognizant we believe than our culture make us stronger!

Join us now!

#BeCognizant #IntuitionEngineered

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