Principal Ai Engineer

**About**GlobalFoundries**

**Introduction**:
As a principal AI engineer, you will be reporting to Head of Global Digital Manufacturing and play in a leading role within the Data Science team and assist in the AI/ML/Gen-AI solutions’ technical requirements. You will initiate the best-practices in analytics use case development/deployment/ scaling/maintaining the data science projects. You will foster partnership with both GFIT and vendors/start-ups.

**Your key responsibilities**:

- Support the Head of Global Digital Manufacturing to set AI scaling pace/ draw implication on requirement for digital talent and data/cloud infrastructure enablement and to operationalize solution partnership model
- Set technical standards and best practices: operationalize scalable AI / Gen-AI platforms and leverage ML engineering best practice for optimal model performance
- Lead the design and implementation of AI solutions and agents, including machine learning / Gen-AI models, and draw implications on data/ cloud infrastructure
- Collaborate closely with GFIT and Manufacturing Data Governance team to develop data and analytics solution architecture based on purpose and performance.
- Lead cross-functional work including data scientists, software engineer, platform engineer and /or platform vendors to deliver high-quality AI solutions
- Stay abreast of the latest AI advancements, drive innovation and AI knowledge sharing
- Lead team of data scientists, including managing workloads, creating, and implementing common modeling standards and practices, and providing mentorship, support, and expertise.
- Lead technical and analytics capability building within the digital manufacturing team to stay current on best practices and new model techniques.

**Other Responsibilities**:

- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

**Required Qualifications**:

- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree
- A minimum of 8 years of experience in analytics space with proven track record of innovation as a forerunner with at least 4+ years of experience in technical team leadership
- Deep expertise in various AI techniques, machine learning frameworks, LLM and model deployment strategies
- Extensive experience with cloud platforms (AWS, Azure, Google Cloud) for building and deploying AI solutions
- Deep understanding of data pipelines, data warehousing, and data quality principles
- Strong communication skills to interact with both technical and non-technical audiences
- Proven leadership skills to coach and guide team members to ensure on-time excellence
- Product mindset with significant experience working in Agile teams
- Ability to build a sense of trust and rapport within the team and senior leadership
- Flexibility and ability to work with ambiguous problems and unstructured data

**Preferred Qualifications**:

- Master’s in data science, computer science or other quantitative field.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.