Forward Deployed Engineer

Job summary

The Forward Deployed Engineer will embed with manufacturing teams to diagnose operational problems and deploy Cerebro AI solutions in real plant environments. They are responsible for ensuring system reliability, driving user adoption, and providing field insights to the core product team.

Job details

Job Description Forward Deployed Engineer We’re a naan traditional company… Summary As a Forward Deployed Engineer on the Cerebro team, you will be embedded with manufacturing customers and internal production teams to make Cerebro actually work in real plant environments. This is a highly practical, hands-on role at the intersection of AI technology, manufacturing operations, and customer outcomes. You will spend significant time on-site (and remotely) understanding production lines, diagnosing real operational problems, rapidly adapting and deploying Cerebro solutions, integrating with existing systems, driving adoption, and feeding field insights back into the core product. Success is measured by reliable production deployments, measurable line improvements, and high customer adoption. We are looking for sharp, analytical engineers who can learn quickly. If you have a strong engineering foundation (Mechanical, Electrical, Industrial/Management, or similar), enjoy solving real-world problems with people, and are excited to pick up modern AI tools while immersing yourself in manufacturing, this role is built for you. What FGF Offers: FGF believes in Home Grown Talent, accelerated career growth with leadership training. Unleashing Your Potential Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account RRSP matching program Tuition reimbursement Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc. Primary Responsibilities: Embed with customer manufacturing sites and internal production teams to deeply understand workflows, constraints, data sources, and high-value use cases for Cerebro. Conduct site visits and technical assessments; rapidly translate observations into working solutions, prototypes, and production deployments. Design, customize, integrate, and deploy Cerebro applications and features into live manufacturing environments—handling data connections, system integrations, reliability, and edge cases. Collaborate with manufacturing leads and cross-functional stakeholders using practical problem-solving approaches (including Lean/Six Sigma thinking) to identify opportunities and deliver measurable improvements. Own the reliability and stability of Cerebro solutions post-deployment; troubleshoot in production, iterate quickly, and ensure solutions remain robust under real plant conditions. Drive adoption through hands-on training, enablement, and close partnership with operators and supervisors—aiming for high utilization rather than checkbox go-lives. Capture field feedback, edge cases, and product gaps; communicate them clearly to Data Science, Analytics, and product/engineering teams to continuously improve Cerebro. Contribute to streamlining deployment processes, automating training/support elements, and building reusable patterns that improve scalability across facilities. Prepare clear technical and business artifacts (assessment summaries, scopes, milestone plans) that keep customers and internal teams aligned on realistic outcomes Required Experience: Minimum 2 years of professional experience in an engineering, technical, or operational role (Mechanical, Electrical, Industrial/Management, Manufacturing, Process, or related engineering backgrounds are highly valued). Strong analytical and problem-solving skills—ability to break down complex, real-world issues, gather data, and drive practical solutions. Demonstrated ability to learn new technologies quickly and apply them effectively Excellent interpersonal and communication skills; comfortable working with people at all levels, from operators to plant leadership. High ownership mentality and comfort operating in ambiguous, fast-moving environments. Willingness and ability to travel for site visits and hands-on deployments. Nice-to-Have: Exposure to manufacturing, industrial operations, food production, or continuous improvement (Lean/Six Sigma) environments. Any hands-on experience with data, systems integration, automation, sensors, computer vision, or applied AI tools. Experience collaborating across technical and non-technical teams. Curiosity about AI and a track record of quickly picking up new technical skills. What is the recipe for a great career at FGF?Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas. In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization. Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time. FGF Brands may use Artificial Intelligence (AI) tools as part of our recruitment and selection process. These tools may assist in screening, assessing, or selecting applicants. AI tools are used to support our recruitment process, with final hiring decisions made by our recruitment and hiring teams. FGF Brands is committed to providing an accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the recruitment and selection process. If you require an accommodation, please let our recruitment team know, and we will work with you to meet your accessibility needs. #LI-SS2

What you’ll do

The Forward Deployed Engineer will embed with manufacturing teams to diagnose operational problems and deploy Cerebro AI solutions in real plant environments. They are responsible for ensuring system reliability, driving user adoption, and providing field insights to the core product team.

Requirements

Candidates must have at least 2 years of professional experience in an engineering or operational role with a strong analytical foundation. The role requires excellent communication skills and the ability to travel for hands-on site deployments.

Benefits

• Competitive compensation • Health benefits • Flexible medical spending account • Health spending account • RRSP matching program • Tuition reimbursement • Discount program

Listed skills

• Problem solving · Preferred
• Data analysis · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Engineering
• Manufacturing operations
• AI technology
• System integration
• Data analysis
• Problem solving
• Lean/Six Sigma
• Technical assessment
• Project deployment
• Troubleshooting
• Cross-functional collaboration
• Automation
• Sensors
• Computer vision
• Applied AI

Job areas

• Engineering
• Manufacturing
• Technology
• Data & Analytics
• Food & Beverage