AI Solutions Lead Engineer

Triz Engineering Solutions

Centurion

On-site

ZAR 1,000,000 - 1,600,000

Full time

2 days ago
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Job summary

Triz Engineering Solutions in Centurion, South Africa, seeks an AI Solutions Lead who focuses on business strategy and innovation rather than software development. The role identifies opportunities for AI across the company and collaborates with Aculocity and internal teams to translate needs into value.

The position serves as Engineering Product Owner for AI-enabled workflows, guiding vision, prioritizing backlog, and ensuring outcomes while enabling teams through training and practical use of

Qualifications

  • Bachelor’s or Master’s degree in Business, Engineering, Innovation, or Operations.
  • 5+ years of experience in operations, product development, innovation, or business transformation.
  • Proven ability to lead cross-functional initiatives and manage external technology partners.
  • Fluent in English with strong written, verbal, and interpersonal communication skills across technical and executive audiences.
  • Willingness to travel internationally.

Responsibilities

  • Identify high-value AI use cases across the organization.
  • Build ROI-driven business cases and present to senior leadership.
  • Coordinate with Aculocity and external partners to drive implementations.
  • Define success metrics, monitor progress, and remove roadblocks to execution.
  • Develop training to build AI awareness and capability.

Skills

Cross-functional leadership
Stakeholder management
Strategic thinking
Strong communication
Problem solving

Education

Bachelor’s or Master’s degree in Business, Engineering, Innovation, Operations

Tools

Lean / Six Sigma
AI/ML familiarity

Job description

Triz Engineering Solutions is seeking a business-oriented, innovation-driven problem solver to join us as an AI Solutions Lead. The ideal candidate will have a deep understanding of how the business operates and how complex workflows function, bringing structured problem-solving and hands-on thinking to the table. This position is business-driven and focused on operational strategy and innovation and is not a software or coding position. It is specifically not suited to persons pursuing programming or data science, as it does not involve coding or technical model development.

Triz Engineering Solutions (www.trizengineering.com) is a product engineering and development company specializing in end-to-end turn-key commercial vehicle development.

Position Summary:

The AI Solutions Lead Engineer will be responsible for identifying high-impact opportunities for Artificial Intelligence across Triz Engineering and other GVW operating companies, driving real-world implementation through collaboration with Aculocity (the technology delivery partner), internal engineering teams, and third-party experts. The role serves as the Engineering Product Owner for AI solutions owing business scope, backlog priority, value realization, and the specialist engineering knowledge that powers AI-enabled workflows.

Key Responsibilities:

1. Identify High-Value Use Cases

  • Walk the floor, engage teams, and map workflows to determine where AI can unlock productivity, business insights, or automation and competitive advantages.
  • Develop a wide and deep understanding of industry and business trends, identify and translate opportunities and challenges into structured problem and solutions statements.
  • Use your understanding of physical processes, constraints, and technology to assess viability

2. Build the Business Case

  • Prioritize opportunities based on business impact, effort, and speed to value.
  • Develop clear, ROI-driven business cases that align with operational goals.
  • Present and communicate these opportunities to senior leadership and stakeholders.

3. Engage the Right Expertise

  • Scout, evaluate, and collaborate with third-party AI vendors, domain experts, and technology providers.
  • Serve as the internal project lead — translating business needs to external providers and ensuring delivery stays aligned with outcomes.
  • You don't build the tech - you guide the vision, manage the outcomes, and ensure it solves the right problem.
  • Coordinate implementation efforts across business units and external partners.
  • Define success metrics, monitor progress, and remove roadblocks to execution.
  • Develop and lead training efforts to build awareness and capability around the new tools or workflows.

5. Promote Innovation Across the Organization

  • Champion a practical understanding of AI — what it is, what it isn't, and where it can help.
  • Host workshops, lead internal demonstrations, and empower teams to think differently.
  • Help build a culture that is open to experimentation and continuous improvement.
Qualifications, Experience and Skills:
  • Bachelor’s or Master’s degree in Business, Engineering, Innovation, Operations, or a related field.
  • 5+ years of experience in operations, product development, innovation, continuous improvement, or business transformation.
  • Proven ability to lead cross-functional initiatives and manage external technology partners.
  • Fluent in English, with exceptional written, verbal, and interpersonal communication skills, capable of engaging confidently across technical and executive audiences.
  • Able to influence across technical and business domains.
  • Has strong business instincts.
  • Naturally curious, hands-on, and relentless about solving real problems.
  • Not afraid of technology, but more focused on what it enables rather than how it works under the hood.
  • Attention to detail and accuracy in work
  • Ability to handle confidential information with discretion.
  • Excellent organizational and multitasking abilities.
  • Outstanding organisational and time management skills
  • Willingness to travel internationally
Nice to Have (But Not Required):
  • Familiarity with AI/ML applications in operations or manufacturing.
  • Experience working with technology vendors, solution providers, or consultants.
  • Exposure to innovation frameworks like Lean, Six Sigma, Design Thinking, or Agile.
Remuneration:

We offer a highly competitive remuneration package.

Disclaimer:

By submitting your application, you acknowledge and consent that Triz Engineering Solutions may use artificial intelligence tools ("AI Tools") as part of its recruitment and selection process. These tools are used to support, not replace, human decision-making, and are intended to improve the efficiency and effectiveness of our recruitment process.

We may use AI tools to help screen applications, match candidates to roles, and manage recruitment data. All applications are reviewed by our recruitment team, and your personal information will be handled in accordance with the Protection of Personal Information Act ("POPIA"). You may withdraw your consent at any time by contacting recruitment.sa@trizengineering.com.

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