AI/ML Engineer

Cognizant; Chicago (IL); Remote; USD 88,000 - 135,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Disability insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI/ML Engineer to design and deliver AI-powered solutions at enterprise scale. You will leverage ML/NLP, Generative AI, and Agentic AI to build production-ready systems that accelerate decision-making and automate processes.

You will collaborate with cross-functional teams to translate requirements into scalable, governed AI solutions and ensure adherence to enterprise standards and security.

Qualifications

• Bachelor's degree in CS, Data Science, Engineering, Math, or related field.
• 8+ years of experience in ML/AI/Data Science.
• Hands-on experience deploying enterprise AI/ML solutions.
• Proven Generative AI experience (RAG, agents, prompt engineering).
• Expertise in Python and ML libraries (PyTorch, TensorFlow, Scikit-Learn, Hugging Face).
• Experience with LangGraph and/or LangChain.
• Strong NLP skills (classification, semantic similarity, embeddings, topic modeling).
• Experience building data pipelines with SQL and PySpark.
• Experience deploying on AWS/Azure/GCP and container tech (Docker/Kubernetes).
• Knowledge of MLOps: deployment, monitoring, CI/CD, observability.

Responsibilities

• Design, develop, and deploy production-grade AI/ML solutions.
• Build Generative AI and Agentic AI apps with multi-agent orchestration.
• Develop RAG and Text-to-SQL solutions.
• Create LLM evaluation, monitoring, and governance frameworks.
• Design scalable NLP solutions including classification, semantic search, and embeddings.
• Develop ML models using statistical and deep learning methods.
• Build data pipelines with Python, PySpark, SQL, and cloud-native tools.
• Implement MLOps: CI/CD, validation, monitoring, drift detection, quality controls.
• Collaborate with stakeholders to translate requirements into scalable AI.
• Ensure governance, security, compliance, and responsible AI standards.

Skills

Python

ML development

NLP

Generative AI

Agentic AI

RAG

LangChain

LangGraph

LLM evaluation

MLOps

CI/CD

Cloud platforms

Docker

Kubernetes

SQL / PySpark

Education

Bachelor's degree

Tools

PyTorch

TensorFlow

Scikit-Learn

Hugging Face

Docker

Kubernetes

PySpark

AWS / Azure / GCP

Job description

Job Title – Senior AI/ML Engineer

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to design, develop, and deliver innovative AI-powered solutions that solve complex business challenges at enterprise scale. In this role, you will leverage your expertise in Machine Learning, Natural Language Processing (NLP), Generative AI, and Agentic AI to build production-ready systems that drive business value, accelerate decision-making, and enable intelligent automation.

You will work closely with cross-functional stakeholders, architects, data engineers, and business teams to translate business requirements into scalable, reliable, and governed AI solutions.

In This Role, You Will

• Design, develop, and deploy production-grade AI and Machine Learning solutions.
• Build and maintain advanced Generative AI and Agentic AI applications utilizing multi-agent orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) solutions and Natural Language-to-SQL (Text-to-SQL) applications.
• Create and optimize LLM evaluation, monitoring, observability, and governance frameworks.
• Design scalable NLP solutions, including text classification, semantic search, topic modeling, sentiment analysis, and embedding-based applications.
• Develop and deploy machine learning models using statistical and deep learning techniques.
• Build high-performance data pipelines and AI workflows using Python, PySpark, SQL, and cloud-native technologies.
• Implement MLOps best practices including CI/CD, model validation, monitoring, drift detection, and automated quality controls.
• Collaborate with stakeholders to understand business requirements and deliver scalable AI solutions aligned with organizational objectives.
• Ensure AI systems adhere to enterprise governance, security, compliance, and responsible AI standards.
• Contribute to AI platform architecture, solution modernization initiatives, and continuous improvement efforts.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What You Need to Have to Be Considered

• Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field.
• 8+ years of experience in Machine Learning, Artificial Intelligence, Data Science, or related disciplines.
• Strong hands-on experience developing and deploying enterprise AI/ML solutions in production environments.
• Proven experience with Generative AI technologies, including RAG, agent-based systems, prompt engineering, and LLM evaluation.
• Expertise in Python and AI/ML libraries such as PyTorch, TensorFlow, Scikit-Learn, and Hugging Face.
• Experience with LangGraph and/or LangChain for AI application development.
• Strong knowledge of NLP techniques including classification, semantic similarity, embeddings, clustering, and topic modeling.
• Experience designing and implementing scalable data pipelines using SQL and PySpark.
• Experience deploying solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
• Experience implementing MLOps practices, including model deployment, monitoring, validation, CI/CD, and observability.
• Strong communication skills with the ability to translate technical concepts into business value.

Salary and Other Compensation

Applications will be accepted until October 29, 2026.

The annual salary for this position is between $88,000 - $135,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.