Sr AI/ML Engineer

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) plan and contributions

Paid holidays and PTO

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable AI-powered solutions for enterprise needs. You will leverage ML, NLP, Generative AI, and multi-agent systems to deliver production-grade applications with governance and security in mind.

You will collaborate with cross-functional teams to translate business requirements into reliable AI platforms, ensuring observability, compliance, and responsible AI practices across cloud environments.

Qualifications

• Bachelor’s degree in CS/DS/engineering/math or related field.
• 8+ years in ML/AI and data science.
• Experience deploying enterprise AI/ML in production.
• Generative AI experience including RAG and agent-based systems.
• Proficiency with Python and ML libraries: PyTorch, TensorFlow, Scikit-Learn, Hugging Face.
• Experience with LangGraph and LangChain.
• Strong NLP: classification, embeddings, semantic search, topic modeling.
• Data pipelines with SQL and PySpark.
• Cloud deployment on AWS/Azure/GCP.
• Docker/Kubernetes experience; MLOps: CI/CD, monitoring, 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 applications.
• Create LLM evaluation, monitoring, and governance frameworks.
• Design scalable NLP solutions (text classification, semantic search, embeddings).
• Develop ML models using statistical and deep learning methods.
• Build data pipelines with Python, PySpark, SQL, and cloud-native tech.
• Implement MLOps: CI/CD, validation, monitoring, drift detection.
• Collaborate with stakeholders to deliver scalable AI solutions.
• Ensure governance, security, compliance, and responsible AI standards.
• Contribute to AI platform architecture and modernization efforts.

Skills

Machine Learning

Natural Language Processing

Generative AI

Agent-based AI

Python programming

PyTorch

TensorFlow

LangChain LangGraph

SQL

PySpark

Cloud platforms

MLOps practices

Strong communication

Education

Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or related field

Tools

Docker

Kubernetes

CI/CD pipelines

Monitoring/Observability tools

LLM evaluation frameworks

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.