C3 AI has an opening for aSolution Architect/Senior Solution ArchitectIn 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.