
AI & LLM Engineering Lead
Switzerland Global Enterprise
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudCyber SecurityGoogle Cloud PlatformPythonPyTorchTensorflow
About the role
- Drive the strategy, design, and deployment of advanced AI and LLM solutions to transform engineering and operational processes.
- Ensure secure, scalable, and compliant AI adoption within power automation workflows.
- Lead AI/LLM strategy, solution architecture, and implementation across Engineering, Operations, and Project Delivery.
- Build and maintain LLM-based agents for intelligent processing of documents, automated design validation, QA automation, knowledge retrieval.
- Integrate AI into core power automation workflows and establish AI governance with compliance standards.
- Partner with engineering managers to identify high-value AI opportunities and develop scalable AI pipelines.
- Evaluate emerging AI technologies and monitor model performance for continuous improvement.
- Train and coach engineering teams on practical AI tools and adoption.
Requirements
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Software Engineering, or related technical field.
- Hands-on experience with AI/ML development and production deployment.
- Proven track record in full product lifecycle: ideation, prototyping, development, operations.
- Industrial, energy, or automation domain experience strongly preferred.
- Deep expertise with: Large Language Models, generative AI, and intelligent agents.
- Engineering workflow automation.
- Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
- API-driven solution design and MLOps practices.
- Cloud infrastructure (AWS, Azure, GCP) and on-prem architectures.
- Data governance and cybersecurity best practices.
- Fluent English and Portuguese required; Spanish proficiency preferred.
Benefits
- No Relocation Assistance Provided
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI developmentML developmentLarge Language Modelsgenerative AIintelligent agentsPythonPyTorchTensorFlowAPI-driven solution designMLOps
Soft skills
leadershipcoachingcommunication
Certifications
Bachelor’s degreeMaster’s degree