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Solution Engineer
| Company | C3.ai |
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| Location | San Carlos, CA, USA |
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| Salary | $120000 – $158000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Mid Level |
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Requirements
- Bachelor’s degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study
- 2+ years of professional software development experience with object-oriented programming languages
- Strong verbal and written communication skills
- Ability to work effectively on a cross-functional team
- Analytical and problem-solving abilities
- Organizational skills and attention to detail
- Ability to travel as needed
Responsibilities
- Develop and deploy full-stack, AI-based enterprise applications on the C3 AI Platform
- Mentor junior team members on coding standards and design techniques
- Conduct design and development reviews of customer software applications
- Test, troubleshoot, and enhance customer software applications with and on behalf of customers
- Deliver technical deep-dives, demonstrations, and customer training
- Write application specifications and documentation
- Continuously identify technical risks and gaps; devise mitigation strategies in anticipation of customer needs
- Work closely with product management and engineering to drive improvements to the overall quality of C3 AI software
Preferred Qualifications
- Graduate degree in Science, Technology, Engineering or Mathematics (STEM), or comparable area of study
- Experience deploying enterprise scale applications
- Experience working in a customer-facing role
- Software development experience with JavaScript and Python
- Experience with Git or other version control software
- Experience working with JavaScript frameworks such as React, Redux, Vue, Backbone, or Angular
- Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure)
- Understanding of SQL and NoSQL databases
- Proficiency in data structure and algorithm design and implementation
- Proficiency in time-series data analysis, cleansing, and normalization
- Working knowledge of Agile software development methodology
- Solid understanding of common machine learning techniques, applications, and trade-offs
- Domain expertise in one or more of the following industries: Aerospace, Financial Services, Healthcare, Industrial Manufacturing, Oil & Gas, Public Sector, Power & Utilities, Supply Chain, Telecommunications
