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Founding AI Engineering (Forward Deployed)

Category: Software Development/ Engineering

Main location: Canada, Ontario, Toronto

Position ID:J0926-2086

Employment Type: Full Time

Position Description:

We are looking for a Founding AI Engineering professional to help build this capability. This is a senior, hands-on role where you will build real AI products and help shape how they are built. You will work closely with client teams and lead by example through coding, architecture, and mentoring developers and co-ops.

This is a great fit for a builder with strong full-stack roots who has shipped AI products to production and wants to help shape a new AI engineering capability.

This role is hybrid and requires you to be at our downtown Toronto office and/or client office a minimum of 2 days per week, subject to change at any time.

Your future duties and responsibilities:

- Design and build production AI systems, including full-stack applications, agents, and the services behind them.
- Set patterns and standards for building with AI, including prompt, context, harness, and loop engineering.
- Build shared tools, harnesses, and evaluations the team uses to move fast and stay reliable.
- Lead delivery while embedded with client teams, from first idea to a product in production.
- Mentor devlopers and co-ops through code reviews, pairing, and clear guidance.
- Own the quality, security, and reliability of what the team ships.
- Work with leadership to shape the roadmap and identify the right problems to solve.
- Keep learning and bring new AI tools and ideas into the team.

Required qualifications to be successful in this role:

- 5-12 years building and shipping software, with recent hands-on AI work.
- Strong with Java and Node.js; able to design front end, back-end APIs, and data together.
- Strong with PostgreSQL and MongoDB, including design and performance.
- Experience shipping LLM or agent products to production and keeping them running.
- Experience building full-stack software daily with AI coding tools such as Cursor, GitHub Copilot, Antigravity, or Claude Code.
- Deep knowledge of prompt engineering, context engineering, harness engineering, and loop engineering.
- Ability to design evaluations and make AI systems safe, tested, and dependable.
- Experience deploying applications to the cloud, such as Azure, AWS, or GCP.
- Ability to lead a delivery team, mentor others, and set technical direction.
- Clear written and spoken English; able to explain technical work to developers and business leaders.

Assets / Nice to Haves
- Background in Banking, Insurance, or Wealth Management.
- Experience with RAG, vector databases, agent frameworks, and the Model Context Protocol (MCP).
- Experience with MLOps, observability, and monitoring for AI systems.
- Awareness of security, privacy, and compliance in regulated industries.
- Experience standing up a new team, practice, or product from scratch.
- Speaking, writing, or open source work that shows thought leadership in AI.

CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000-$145,000. This role is an existing vacancy.

#LI-VK7

Use of the term 'engineering' in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.

Skills:

• Agentic AI
• Artificial Intelligence
• Financial Services
• Full Stack Development
• Full Stack Development
• Java
• MongoDB
• Node.Js
• Postgre SQL
• RESTful (Rest-APIs)
• Amazon Web Services Cloud
• Azure
• GitHub Copilot
• Google Cloud Platform