Forward Deployed Engineer (AI Capability Center)

Team: IT

Location: Canada

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Build and deliver full-stack features and AI-powered solutions using Python, AWS, Azure, Claude, and other relevant AI models.

• Work directly with business users on a day-to-day basis, understanding their needs and iterating on solutions collaboratively.

• Develop and implement RAG and agent-based capabilities where appropriate to solve business problems.

• Maintain high standards of software quality by implementing testing, evaluations, and quality controls for delivered features.

• Translate architectural direction into robust implementations while identifying and communicating gaps or risks in the proposed design.

• Contribute to agentic development practices, including AI-assisted coding tools and evaluation-driven development pipelines.

• Collaborate within a multidisciplinary delivery pod, working alongside solution architecture and engagement leadership to deliver solutions effectively.

• Help identify opportunities to improve development workflows, solution quality, and the practical application of AI technologies.

Requirements

• 3–5 years of professional experience building software, AI solutions, or related technical products.

• Strong hands-on development skills in Python and experience working with AWS and/or Azure.

• Experience with front-end development and full-stack engineering practices.

• Familiarity with Retrieval-Augmented Generation (RAG), AI agents, or related generative AI architectures.

• Exposure to agentic development tools, AI-assisted coding, or evaluation-driven development pipelines is preferred.

• A strong builder mindset with the ability to work directly with business stakeholders and translate requirements into practical solutions.

• Ability to work collaboratively, take technical direction, communicate design concerns, and operate effectively in a fast-moving environment.

• Experience or exposure to healthcare or higher education environments is advantageous.

• AWS AI Practitioner or Azure AI-900 / AI-102 certification is a plus.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience.

Benefits

• Estimated base salary of CAD 115,000–140,000 per year, depending on skills, experience, certifications, market conditions, and other relevant factors.

• Eligibility for an annual incentive compensation program, with an estimated total compensation range of CAD 132,250–161,000, including incentive opportunity.

• Remote work arrangement in Canada.

• Medical, dental, and vision coverage.

• Wellness programs and broader employee wellbeing initiatives.

• Paid time off and paid parental leave.

• Adoption assistance and additional family-oriented benefits.

• Retirement savings and employee financial benefits, subject to applicable eligibility requirements.

• Opportunities to work on practical AI transformation initiatives and develop expertise across modern cloud and AI technologies.

• Collaborative environment focused on innovation, learning, mentorship, diversity, and inclusion.