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Frontier Certified Engineer (FCE) - Canada

Confidential ClientConsulting
Entry LevelFull-timeHybrid$78,099
Washington, District of Columbia
15 Hours Ago

The Frontier Certified Engineer (FCE) at Confidential Client is an entry-level role focused on developing AI-enabled software solutions through collaboration with AI tools and cross-functional teams. The position offers structured training, mentorship, and hands-on experience in AI, cloud, automation, and modern engineering practices to deliver measurable business outcomes. This hybrid role in Toronto supports early-career professionals passionate about emerging technologies and continuous learning.

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Description

About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, a Confidential Client in the IT industry.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.


About the Role

Confidential Client is hiring entry-level engineers into a structured Frontier Certified Engineer (FCE) program focused on AI-augmented engineering. This program combines hands-on bootcamp training, mentorship, and project work to help early-career talent build skills in AI-assisted development, cloud, software engineering, data, and automation. You will work in small cross-functional pods alongside experienced practitioners and AI-powered tools to deliver measurable business outcomes.


What You’ll Gain

  • Participate in a structured onboarding experience including Frontier training and a hands-on engineering bootcamp.
  • Work alongside experienced engineers, architects, and AI practitioners on real-world client challenges.
  • Develop skills across AI, software engineering, cloud, automation, and modern delivery practices.
  • Learn to collaborate with AI-assisted development tools and large language models.
  • Gain hands-on experience building solutions that create measurable impact for global clients.
  • Earn Frontier certifications and access ongoing technical learning opportunities.
  • Join a collaborative environment that values curiosity, continuous learning, and professional growth.

Who We’re Looking For

We encourage applications from early-career candidates who are excited about AI-enabled engineering and emerging technologies:

  • Recent graduates or early-career professionals from Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related disciplines.
  • Candidates who have hands-on technical experience through coursework, internships, co-ops, research, military service, apprenticeships, capstone projects, hackathons, certifications, open-source contributions, or personal projects.
  • People with strong analytical thinking, problem-solving ability, communication skills, and a team-oriented mindset.
  • Candidates who are curious, adaptable, and eager to learn in fast-evolving technology domains.

This is an entry-level opportunity. Professional AI experience is not required.


Responsibilities

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-assisted tools.
  • Support the development of AI-enabled applications, workflows, and automation solutions.
  • Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance.
  • Help build 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.
  • Continuously learn new tools, technologies, and delivery approaches.
  • Participate in technical training, certifications, workshops, and hands-on learning experiences.

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, 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, personal projects, or similar experiences.
  • Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, automation, or related fields.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively in team environments.
  • Curiosity, adaptability, and an ownership mindset.

Preferred Qualifications

(The following are helpful but not required.)

  • Experience with one or more programming languages such as Python, Java, JavaScript, TypeScript, or C#.
  • Exposure to cloud platforms (Azure, AWS, Google Cloud).
  • Familiarity with generative AI, large language models, or prompt engineering.
  • Experience with APIs, automation platforms, databases, or data engineering concepts.
  • Familiarity with Git and collaborative development workflows.
  • Participation in academic, personal, or internship projects involving software development, AI, cloud, data, or automation.

Training & Certification

  • Pass the Frontier Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals.
  • Complete the Frontier engineering bootcamp, including hands-on project work in a collaborative pod.
  • Participate in ongoing technical learning, certifications, and Frontier engineering development programs.
  • Work alongside experienced Frontier practitioners while building skills to contribute to AI-native systems and client solutions.

Compensation & Location

  • Base salary: $100,000 per year.
  • This role is eligible for the client’s discretionary annual performance-based bonus and benefits.
  • Work arrangement: Hybrid — requires approximately 3 days per week in a client or Confidential Client office in Toronto, ON (subject to project and client requirements).
  • Start date: New hires will start in September 2026.
  • Application window / Post closing date: Applications will be accepted until August 17, 2026.
  • Work authorization: Confidential Client will only consider applicants who are legally authorized to work in Canada without employer sponsorship now or in the future.

Additional Details

  • This opportunity is designed to build long-term technical capability; we encourage candidates to apply even if they don’t meet every preferred qualification.
  • Confidential Client’s recruitment team will review applications as described in the posting. If you have specific questions about timing or process, the Careertakes team can assist.

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.

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