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

C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches.

The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. 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