Process Integration Engineer developing integrated front end process flows and optimizing semiconductor device performance at Intel. Collaborating with cross - functional teams to enhance product quality and yield.
About the role
- AI Solutions Architect shaping the digital future for clients in Switzerland by developing and implementing scalable AI architectures and solutions. Collaborating with teams on security architectures and innovative AI solutions in a hybrid environment.
Responsibilities
- Shape the digital future of our clients in Switzerland within the Technology & Innovation team
- Develop comprehensive security architectures and advise on SAP security topics
- Implement innovative solutions collaboratively within the team
- Design and implement scalable AI architectures for enterprise environments
- Translate complex business requirements into technical AI solutions
- Create solution designs and select appropriate AI services and tools
- Integrate foundation models (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock)
- Develop custom applications and APIs in Python
- Apply prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation) architectures
- Provide technical leadership in AI projects and mentor teams
Requirements
- 1+ years of experience integrating and orchestrating AI/LLM services (OpenAI API, Azure OpenAI, AWS Bedrock)
- Strong Python skills and experience with LLM frameworks (LangChain, Semantic Kernel, LlamaIndex)
- Experience with cloud platforms (Azure, AWS, GCP) and container technologies (Docker, Kubernetes)
- Knowledge of MLOps tools, CI/CD pipelines (Git, GitLab), and Linux/Unix systems
- Ability to communicate technical concepts clearly to diverse stakeholders
- Preferably experience in consulting and in technical leadership of teams
- Familiarity with data warehousing, BI, and ML technologies (e.g., Databricks, Snowflake, MLflow, Airflow, Kubeflow)
- Experience with vector databases, RAG implementations, agentic AI patterns, as well as AI governance and compliance frameworks
- Familiarity with AI development platforms (Azure AI Foundry, AWS Bedrock, Jupyter Notebooks) and frameworks such as the Model Context Protocol (MCP)
- AI-related certifications (e.g., Azure AI Engineer Associate, AWS Certified AI Practitioner)
Benefits
- Personal Growth Model and Coaching & Leadership approach for close support in your development
- Wide range of training in the Academy, including language and certification courses
- Flexible career model and 'Fluid Company' approach for individual career paths
- Part-time options for a good work-life balance
- Mobile work policy for remote work or working from Swiss offices
- 25 days of vacation and additional days off for special circumstances or relocation
- Various sabbatical options
- Fixed monthly mobility allowance for flexible transportation
- Company culture with values, Power Days, employee surveys and company events
- Fair and attractive salaries with a performance-based component
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Develop integrated process flows and optimize yield in semiconductor manufacturing for Intel. Collaborate across teams to enhance device performance and ensure reliability standards.
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