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

C3 AI is seeking an experienced professional to join ourAI 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 AI 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 hands-on and requires a perfect combination of a "big picture," solution-oriented mindset, and solid implementation skills.

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 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
• Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings
• Travel to customer sites (up to 30%)

Qualifications:

• Bachelor's degree in engineering, computer science, or related fields
• 5+ years of experience(8+ years for Senior AI SA)with system/data integration,development,or implementation of enterprise and/or cloud software
• 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
• Excellent verbal and written communication and presentation skills

PreferredQualifications:

• 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.