AI Solution Architect/Senior AI Solution Architect

1 week ago

New York, New York, United States C3, Inc. Full time
About the Role

C3 AI is seeking an experienced professional to join our AI Solution Architecture team in a post-sales capacity. As an AI Solution Architect, you will design, develop, and deploy custom and pre-built Enterprise AI applications using the C3 AI Platform.

This role requires a strong understanding of enterprise architecture and enterprise application integration, as well as extensive hands-on experience in Big Data, Distributed Systems, and Cloud Architectures. You will work closely with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings.

The ideal candidate will have a passion for acquiring, analyzing, and transforming data to generate insights with advanced analytics. They will also have a solid understanding of data modeling best practices and be able to design and implement reference architectures to deliver scalable and reusable solutions.

Responsibilities:

  • Configure and implement full-stack AI solutions 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
  • Extensive hands-on experience 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
  • Experienced 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

What We Offer:

  • Excellent benefits
  • Competitive compensation package
  • Generous equity plan

Minimum Salary: $120,000

Maximum Salary: $200,000

Salary Unit: Yearly

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