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. Learn more at: C3 AI C3 AI is seeking an experienced professional to join our AI Solution Architecture team (post-sales) . In this customer-facing role, you willhave the opportunityto design, develop, and deploy custom and pre-built Enterprise AI applicationsusing theC3 AIApplication Platform.TheC3 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. This role requires US Citizenship. Active Department of Defense (DoD)securityclearance(Secret or higher)is preferred Responsibilities : Engage directly with customersin a post-sales capacityto configure and implement a full-stackAIsolutionaccording to functionaland performancerequirements Drive discussions on architecture and engineering to articulate the capabilities of the C3 AI Application 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 : 5 years of experience(8 years for Senior AI SA)with system/data integration,development,or implementation of enterprise and/or cloud software Bachelor's degree in engineering, computer science, or related fields Deep understanding of enterprise architecture and enterprise application integration(File, API, Queues, Streams) Extensive hands-on expertiseinBig Data, Distributed Systems, and Cloud Architectures(AWS, Azure, GCP) Demonstrated proficiency withPython,JavaScript, and/or Java Experience with relationaland NoSQLdatabases (any vendor) Solid understanding of data modeling best practices Strong organizational and troubleshooting skills with attention to detail Strong analytical ability,judgment,andproblem-solvingtechniques Interpersonaland communicationskills with the ability to work effectively in across-functionalteam Ability to travel up to 30% PreferredQualifications: TS/SCI Clearance (preferably DoD) Expertise in Postgres, Cassandra Experience withstream processing frameworks (Kafka, Kinesis) Experience with container-based deployments using Kubernetes or OpenShift Experiencedesigning and maintainingDataOpsandMLOpsin Production environments Working knowledge of Machine Learning algorithms Familiarity with Commercial LLMs, including a comprehensive understanding of their integration, customization, and management Familiarity with vector databases (e.g., PGVector, FAISS) for efficient embedding storage and retrieval in RAG applications 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. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.