C3 AI has an opening for a Solution Architect/Senior Solution Architect In this post-sales, customer-facing position, you will have the opportunity to design, develop and deploy custom and pre-built Enterprise AI applications using the C3 AI Suite. The C3 AI product suite is entirely data-driven, so a great candidate will have a passion for acquiring, analyzing, and transforming data to generate insights with advanced analytics. This role is very hands-on and requires a perfect combination of “big picture”, solution-oriented mindset and solid implementation skills. 

Responsibilities:

• Engage directly with customers in a post-sales capacity to configure and implement a full-stack AI solution according to functional and performance requirements
• Design and implement reference architectures to deliver scalable and reusable solutions
• Develop new specs, documentation, participate in the development of technical procedures and user support guides
• Assess technical risks and come up with mitigation strategies
• Support, monitor, execute production AI application jobs and processes
• Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings

Qualifications:

• 5+ years of experience (8+ years for Senior SA) with system/data integration, development, or implementation of enterprise and/or cloud software
• Engineering degree in Computer Science or related fields
• Deep understanding of enterprise architecture and enterprise application integration (File, API, Queues, Streams)
• Extensive hands-on expertise in Big Data, Distributed Systems and Cloud Architectures (AWS, Azure, GCP)
• Demonstrated proficiency with Python, JavaScript and/or Java
• Experience with relational and NoSQL databases (any vendor)
• Solid understanding of data modeling best practices
• Strong organizational and troubleshooting skills with attention to detail
• Strong analytical ability, judgment, and problem-solving techniques
• Interpersonal and communication skills with the ability to work effectively in a cross functional team

Preferred Qualifications:

• Expertise in Postgres and Cassandra
• Experience with Hadoop, Spark, cloud databases (Snowflake, BigQuery, Redshift)
• Experience with stream processing frameworks (Kafka, Kinesis)
• Experience with container-based deployments using Kubernetes or OpenShift
• Experience designing and maintaining DataOps and MLOps in Production environments
• Working knowledge of Machine Learning algorithms
• Experience with SaaS and business intelligence or advanced analytics implementations

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