AI Executive Director
Originally posted 22 June 2026 by the employer.
About the role
The AI Executive Director leads a multidisciplinary AI and engineering team to design, deploy, and scale artificial intelligence and machine learning applications across engineering workflows and business operations. This position guides the integration of generative AI architectures and automated solutions into semiconductor design methodologies and enterprise platforms.
What you'll do
- Lead a multidisciplinary team of AI architects, data scientists, software engineers, and domain experts to deploy AI solutions for engineering and business functions. - Shape AI-enabled workflows across semiconductor design, enhancing engineering, operational, and business processes. - Lead solution architecture reviews, platform alignment, and deployment strategies for generative AI applications. - Conduct experiments to evaluate model performance, identifying improvement areas and implementing optimizations. - Partner with engineering, IT, and business units to ensure alignment with application requirements, governance, and deployment models. - Communicate technical concepts and strategic findings to senior leadership and cross-functional stakeholders.
What you'll need
- Bachelor’s degree in engineering, computer science, or a related technical field, or equivalent experience. - 8+ years of experience building, scaling, and deploying AI and machine learning systems, with at least 5+ years in a senior leadership role. - Deep expertise in modern AI architectures, including LLMs, GPT-based architectures, retrieval-augmented generation (RAG), and vector databases. - End-to-end experience with AI systems, including data pipelines, MLOps, and scalable containerized deployments using Docker and Kubernetes. - Experience using cloud platforms such as AWS, Azure, or GCP to pilot, build, and deploy AI solutions at scale. - Proven experience integrating AI solutions with corporate and engineering IT infrastructure, including databases, data warehouses, and API management. - Awareness of data privacy regulations and compliance frameworks, including GDPR and CCPA, along with responsible AI governance.
Nice to have
- Familiarity with semiconductor design environments, including digital and analog design methodologies, flows, and EDA tools. - Direct exposure applying ML/AI concepts within engineering or EDA-related workflows.
Skills: generative AI, LLMs, MLOps, semiconductor design, EDA tools
This role has been open 120 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
85 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Synopsys | All employers we track in this specialty (508 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 50 | 6298 · 145 employers |
| Median days open | 120 d | 85 d (+35 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: generative AI, LLMs, MLOps, semiconductor design, EDA tools
Who's hiring in this category
- Qualcomm · 104 open roles · median 113 d
- NVIDIA · 91 open roles · median 57 d
- AMD · 38 open roles · median 95 d
- Micron Technology · 27 open roles · median 57 d
- Analog Devices · 18 open roles · median 40 d
- Mobileye · 18 open roles · median 85 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 22 Oct 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.