AI Solution Architect/Senior AI Solution Architect

1 day ago


Redwood City, California, United States C3 Ai Full time $138,600 - $237,900 per year

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. 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 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 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
  • 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 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
  • Excellent verbal and written communication and presentation skills

Preferred Qualifications:

  • Expertise in Postgres, Cassandra
  • 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 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 provides excellent benefits, a competitive compensation package and generous equity plan. 

California Base Pay Range $126,000—$207,000 USD

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. 



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