AI Transformation Engineer

About WhiteCrow

We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client's in-house talent acquisition teams.

About our client

For more than 80 years, our client's engineers and product specialists have partnered with customers to produce highly engineered connectivity and sensing solutions that make a connected world possible. Their focus on reliability, durability, and sustainability exemplifies their commitment to progress. The unmatched range of their product portfolio enables companies, large and small, to turn ideas into technology that can transform how the world works and lives tomorrow.

About the role

• The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.
• The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.
• The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.

As a AI Transformation Engineer, you will be responsible for...

Opportunity Identification & Assessment

• Partnering with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.
• Analyzing current-state engineering processes and determining the potential value of AI solutions.
• Gathering business requirements and defining desired outcomes.
• Partnering with AI technical specialists to assess technical feasibility and solution options.
• Working with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.
• Providing use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.
• Determining whether identified opportunities are best being addressed through AI, conventional automation, process improvement, or a combination of approaches.

Solution Delivery & Deployment

• Leading execution of approved AI initiatives from pilot through full deployment.
• Coordinating stakeholders across engineering, digital technology, AI development teams, and subject matter experts.
• Managing pilots, validation activities, user testing, and deployment readiness.
• Driving user adoption and organizational change management activities.
• Ensuring solutions are delivering expected business outcomes and user value.
• Rapidly prototyping and evaluating AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.

Value Realization

• Owning achievement of approved project objectives and targeted business benefits.
• Monitoring adoption, usage, and performance of deployed solutions.
• Identifying and resolving barriers to implementation success.
• Partnering with the AI Value Realization Engineer to validate benefits and track realized value.

What you already have...

Experience & Qualifications

• Bachelor's degree in Engineering or related technical discipline.
• 5+ years of engineering, product development, manufacturing engineering, or related experience.
• Strong understanding of engineering workflows and development processes.
• Experience leading cross-functional projects and driving organizational change.
• Ability to translate business challenges into actionable improvement opportunities.
• Strong communication, facilitation, and stakeholder management skills.
• Demonstrated passion for AI and digital transformation.
• Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.
• Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.
• Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.