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

C3 AI is seeking an experienced professional to join our AI Solution Architecture team (post-sales). In this customer-facing role, you will have the opportunity to design, develop, and deploy custom and pre-built Enterprise AI applications using the C3 AI Platform. 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 a “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
• Drive discussions on architecture and engineering to articulate the capabilities of the C3 AI Platform and its interoperability with existing systems
• Design and implement reference architectures to deliver scalable and reusable solutions
• Develop new specs, documentation, and participate in the development of technical procedures and user support guides
• Assess technical risks and come up with mitigation strategies
• Support, monitor, and 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:

• Bachelor’s degree in engineering, computer science, or related fields
• Deep understanding of enterprise architecture and enterprise application integration (File, API, Queues, Streams)
• 5+ years of experience for a Solution Architect (8+ years for Senior Solution Architect) with system/data integration, development, or implementation of enterprise and/or cloud software
• 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
• Ability to travel up to 30%

Preferred Qualifications:

• Expertise in Postgres and Cassandra
• Experience with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks)
• 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
• Familiarity with AI/ML-related technologies and tools (MLFlow, KubeFlow, AWS SageMaker, Azure MLStudio)
• 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.