Artificial Intelligence Site Lead - Hal Kirkop, Malta
Originally posted 9 September 2026 by the employer — open 11 days.
About the role
This role is responsible for driving AI transformation and value realization at the manufacturing site, translating manufacturing priorities into an AI roadmap and executable project portfolio.
What you'll do
- Define and maintain the site's 1-3 year AI roadmap aligned with site business priorities.
- Own and govern the site-level AI portfolio from opportunity identification through deployment and adoption.
- Be accountable for AI outcomes and value realization at the site level.
- Act as the primary AI focal point for the site, coordinating AI resources and competencies.
- Promote AI awareness and adoption within the manufacturing organization.
- Ensure site AI activities comply with AI@BEM portfolio governance, project methodology, and standards.
What you'll need
- Minimum Bachelor's Degree in Engineering or a closely related technical discipline.
- At least 5 years of manufacturing experience, preferably within a complex industrial or high-volume manufacturing environment.
- At least 3 years of practical experience working with Data, Analytics, Digital Transformation, and/or Artificial Intelligence initiatives.
- Demonstrated experience working within a multinational organization.
- Demonstrated experience working across multiple departments and functions.
- Experience leading or coordinating cross-functional projects involving both technical and business stakeholders.
Nice to have
- Master's degree in Engineering, Data Science, AI, Business, or related discipline.
- Semiconductor or advanced manufacturing experience.
- Experience deploying AI/analytics solutions into production manufacturing environments.
- Experience in AI use cases such as Computer vision, Predictive analytics, Equipment intelligence, Process optimization, Yield and quality analytics, Predictive maintenance, Intelligent automation.
- Project or program management experience.
- Exposure to Data Engineering, MLOps, data governance, and AI platforms.
Skills: AI roadmap, manufacturing data science, AI solutions, yield improvement, process optimization
This role has been open 8 days — well below the 66-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
66 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | STMicroelectronics | All employers we track in this specialty (517 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 35 | 5787 · 143 employers |
| Median days open | 16 d | 66 d (−50 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: AI roadmap, manufacturing data science, AI solutions, yield improvement, process optimization
Who's hiring in this category
- Qualcomm · 106 open roles · median 98 d
- NVIDIA · 85 open roles · median 66 d
- AMD · 43 open roles · median 61 d
- Micron Technology · 32 open roles · median 38 d
- Mobileye · 25 open roles · median 52 d
- Analog Devices · 14 open roles · median 23 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 20 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.