Frontier Certified Engineer (FCE

About Cognizant Frontier

Cognizant Frontier is focused on building the AI-augmented enterprise. Frontier teams combine AI, software engineering, cloud, data, quality, infrastructure, and operations to create intelligent solutions that deliver measurable business outcomes. Engineers work in small, collaborative pods and use AI-powered tools and modern engineering practices to solve real-world challenges.

As a Frontier Certified Engineer (FCE), you will help shape the future of AI-enabled delivery by learning to work alongside AI tools and agents to build innovative solutions, improve business processes, and create meaningful impact for clients. You'll gain hands‑on experience, structured training, and mentorship while developing the skills needed to thrive in the next generation of engineering.

Start your career at the forefront of AI-powered engineering and help shape the future of how technology solutions are built and delivered. As a Frontier Certified Engineer, you'll join a next-generation engineering program designed to help early-career talent build highly sought-after technical and professional skills while working on real-world business challenges.

This opportunity is designed for recent graduates and early-career technology professionals who are excited about artificial intelligence, software engineering, cloud technologies, data, automation, and continuous learning.

• Participate in a structured onboarding experience, including Frontier training and a hands‑on engineering bootcamp.

• Work alongside experienced engineers, architects, and AI practitioners while gaining exposure to real‑world client challenges.

• Develop expertise across AI, software engineering, cloud, automation, and modern delivery practices.

• Learn how to collaborate with AI‑powered development tools and emerging technologies that are transforming the future of engineering.

• Gain hands‑on experience building solutions that create measurable business impact for global clients.

• Earn Frontier certifications and continue developing through ongoing technical learning opportunities.

• Join a collaborative, innovative environment that values curiosity, continuous learning, and professional growth.

We welcome applications from:

• Early‑career professionals seeking to grow their expertise in AI‑enabled engineering and emerging technologies.

• Candidates with backgrounds in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related technical disciplines.

• Individuals who have developed technical skills through internships, co‑ops, research programs, military experience, apprenticeships, capstone projects, hackathons, certifications, open‑source contributions, personal projects, or other hands‑on experiences.

This is an entry-level opportunity. We encourage candidates to apply even if they do not meet every preferred qualification listed below.

Professional AI experience is not required. We're looking for candidates with strong technical foundations, intellectual curiosity, problem‑solving abilities, adaptability, and a passion for learning. Through structured training, mentorship, and hands‑on project experience, you'll develop the skills needed to succeed as a Frontier Certified Engineer.

As a Frontier Certified Engineer, you will:

• Learn to use AI‑assisted development tools and emerging engineering technologies to build and improve software solutions.

• Write, test, debug, and enhance code while collaborating with teammates and AI‑powered tools.

• Support the development of AI‑enabled applications, workflows, and automation solutions.

• Help evaluate AI‑generated outputs for quality, accuracy, performance, and business relevance.

• Participate in building knowledge systems, retrieval workflows, and data‑driven solutions that improve AI experiences.

• Contribute to testing, deployment, monitoring, documentation, and operational support activities.

• Collaborate within a small, cross‑functional pod to deliver measurable customer and business outcomes.

• Apply responsible AI principles and engineering best practices when developing…