Frontier AI Engineer (Agentic) — Remote/Hybrid

Cognizant Technology Solutions Corporation; Madison (WI); Hybrid; USD 90,000 - 110,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan

Disability insurance

Parental leave

Job summary

Cognizant Technology Solutions Corporation is seeking a Frontier Engineer (AI/Agentic) to build scalable, secure AI-enabled solutions. You will join Cognizant Forward and collaborate across engineers, data scientists, and AI practitioners to deliver measurable client outcomes.

The role emphasizes AI-enabled development, cloud-native components, and responsible AI practices, with a flexible work model (remote or hybrid) and multiple office locations for hybrid work.

Qualifications

• Bachelor's degree in a technical discipline.
• Experience building software with one or more major languages.
• Knowledge of OOP, data structures, algorithms, testing, debugging.
• Exposure to full-stack or backend concepts and APIs.
• Strong analytical and written/verbal communication.

Responsibilities

• Use AI-assisted tools to build, test, deploy, and enhance apps and APIs.
• Support AI-enabled applications and agentic workflows.
• Design and integrate full-stack apps, backend services, APIs, and databases.
• Evaluate AI outputs for quality and business relevance.
• Contribute to knowledge systems, testing, deployment, monitoring, and support.
• Apply responsible AI principles and evolving tech practices.

Skills

Software engineering

Programming languages (Java, Python,JS

Object-oriented design

APIs & databases

Cloud platforms

Analytical/problem-solving

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Git

CI/CD

Containerization

Cloud services (Azure/AWS/Google Cloud)

Job description

Cognizant Technology Solutions Corporation is seeking a Frontier Engineer (AI/Agentic) to build scalable, secure AI-enabled solutions. You will join Cognizant Forward and collaborate across engineers, data scientists, and AI practitioners to deliver measurable client outcomes.

The role emphasizes AI-enabled development, cloud-native components, and responsible AI practices, with a flexible work model (remote or hybrid) and multiple office locations for hybrid work.