AI Solution Architect / Senior AI Solution Architect (Pre-Sales)

C3 AI is looking for experienced data and analytics professionals to join our AI Solution Architecture team (Pre-Sales). You will be applying your analytics platform experience to design, recommend, and validate solution designs to help our prospective customers deliver high-value, high-impact projects driven by AI/ML.

AI Solution Architects are data and analytics professionals with at least 5 years of experience with knowledge of data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, and Databricks).

Responsibilities:

• Develop and maintain expertise on the latest technologies relating to cloud, IoT, big data, and artificial intelligence to provide thought leadership to our prospects, customers, and within the company.
• Provide technical leadership in the delivery of trials and proofs-of-concept.
• Collaborate with application engineers, product managers, and data scientists to deliver solutions that solve real-world problems.
• Drive discussions on architecture and engineering to articulate the capabilities of the C3 AI Application Platform and its interoperability with existing systems.
• Deliver technical deep dives, demonstrations, and training in support of sales.

Qualifications:

• 5 years of experience (8+ years for a Senior Solutions Architect) in developing solutions for data and analytics (such as Data Warehousing, Hadoop, and BI Tools), with proficiency in JavaScript and/or Python.
• Familiarity with cloud technologies and machine learning concepts.
• Undergraduate degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study.
• Strong verbal and written communication and presentation skills.
• Experience with object-oriented programming.
• Passionate learner and ability to apply new skills rapidly.
• Passion for teaching, storytelling, and presenting.
• Experience driving client-facing architecture sessions / technical workshops.
• Ability to travel, up to 50%.

Preferred Qualifications:

• Applied experience with machine learning and data science.
• Familiarity with AI/ML-related technologies and tools such as MLFlow, KubeFlow, Kubernetes, AWS SageMaker, Azure MLStudio, DataRobot, and Databricks.
• 2+ years of experience demonstrating software products and presenting technical materials.
• Experience working with large enterprises across multiple industries.
• Experience with Information, Network, & Infrastructure Security concepts.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.