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Frontier Engineer (Agentic_AI) - Canada

  • Toronto, ON, Canada

The base salary for this position is $100,000 per year. · Full-time

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Job details

Pay
The base salary for this position is $100,000 per year.
Job type
Full-time
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Posting language
English
Posted

Original job description

About The Role

As a Frontier Engineer (AI/Agentic), you will make an impact by helping build scalable, cost-optimized, and secure AI-enabled solutions that reimagine business processes and deliver measurable outcomes for clients. You will be a valued member of the Cognizant Forward team and work collaboratively with experienced engineers, architects, data scientists, and AI practitioners in a small, cross-functional pod.

About Cognizant Forward

The Cognizant Forward Team is at the forefront of how Cognizant is helping organizations navigate the AI era. Bringing together leading engineers, architects and innovators, the team demonstrates what is possible when emerging technologies are applied to real business challenges. Backed by more than 30 years of transformation experience, more than $1 billion invested in responsible AI capabilities, 67 patents and one of the world's most extensively trained workforces on leading LLMs, Cognizant Forward reimagines how companies operate and unlock new possibilities for the future.

In this role, you will

  • Use AI-assisted and augmented development tools to build, test, debug, deploy, and enhance software solutions and scalable, secure systems.
  • Support the development of AI-enabled applications, agentic workflows, and automation solutions, including context and harness engineering.
  • Help evaluate AI-generated outputs for quality, accuracy, performance, and business relevance.
  • Contribute to knowledge and context systems, retrieval workflows, testing, deployment, monitoring, documentation, and operational support.
  • Apply responsible AI principles and engineering best practices while continuously learning new tools and technologies.

What You Need To Have To Be Considered

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Cyber Security, Mathematics, or a related technical discipline.
  • Recent graduate or early-career professional with technical experience gained through coursework, internships, co-ops, research, military experience, certifications, hackathons, capstone projects, or personal projects.
  • Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, or automation.
  • Strong analytical, troubleshooting, and problem-solving skills, with strong written and verbal communication.
  • Curiosity, adaptability, and the ability to collaborate effectively in a team-oriented environment.

These will help you stand out

  • Experience with one or more programming languages such as Python, R, MATLAB, Java, JavaScript, TypeScript, or C#.
  • Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Familiarity with generative AI, large language models, prompt engineering, or AI-assisted development tools.
  • Exposure to APIs, automation platforms, databases, software development methodologies, or data engineering concepts.
  • Familiarity with source control tools such as Git and collaborative development practices.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Total Compensation

We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position is $100,000 per year. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.

Location

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Mississauga or Toronto, ON. 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.

Start Date

We will be onboarding candidates on a rolling basis through 2026 and 2027. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.

Additional Disclosures

  • Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
  • Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.
More about this job

Responsibilities

Build, test, deploy, and enhance scalable, secure, cost-optimized AI-enabled software, applications, agentic workflows, and automation solutions. Evaluate AI-generated outputs and contribute to context and retrieval systems, testing, monitoring, documentation, and operational support while applying responsible AI practices.

Requirements

A bachelor's degree in a relevant technical discipline and early-career technical experience gained through education, projects, internships, research, certifications, or similar experience are required. Candidates should demonstrate interest in software development, cloud, AI, data engineering, or automation, along with analytical, communication, problem-solving, and collaboration skills; programming, cloud, generative AI, API, database, and Git experience are advantageous.

Skills

  • Software Development
  • Artificial Intelligence
  • Agentic Workflows
  • Python
  • Cloud Technologies
  • Generative AI
  • Large Language Models
  • Prompt Engineering
  • Context Engineering
  • Harness Engineering
  • APIs
  • Automation
  • Data Engineering
  • Git
  • Troubleshooting
  • Responsible AI

Benefits

  • Physical Wellbeing Programs
  • Mental Wellbeing Programs
  • Financial Wellbeing Programs

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Engineering
  • Data & Analytics
  • Consulting

Keywords

  • Artificial Intelligence
  • Agentic AI
  • AI-Assisted Development
  • Software Development
  • Scalable Systems
  • Secure Systems
  • Cost Optimization
  • Agentic Workflows
  • Automation
  • Context Engineering
  • Harness Engineering
  • Large Language Models
  • Generative AI
  • Prompt Engineering
  • Python
  • R
  • MATLAB
  • Java
  • JavaScript
  • TypeScript
  • C#
  • Microsoft Azure
  • AWS
  • Google Cloud
  • APIs
  • Databases
  • Data Engineering
  • Git
  • Retrieval Workflows
  • Responsible AI

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