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

Posted 6 Hours Ago
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Houston, TX
Senior level
Artificial Intelligence • Big Data • Machine Learning • Software
The Role
The AI Solution Architect will design, develop, and deploy AI applications on the C3 AI Platform, engage with customers to configure solutions, develop documentation, assess risks, and collaborate with product teams. The role demands expertise in data integration, cloud architecture, and excellent communication skills while traveling to customer sites.
Summary Generated by Built In

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 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 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. 

Top Skills

Java
JavaScript
Python
The Company
Redwood City, CA
923 Employees
Hybrid Workplace
Year Founded: 2009

What We Do

C3 AI is the leading Enterprise AI software provider for accelerating digital transformation.

Digital transformation is about leveraging big data and the internet of things to improve performance of assets and predict shortfalls before they happen — all through artificial intelligence and machine learning. Get ahead of supply chain delays before they affect your delivery deadlines. Predict maintenance needs to increase asset uptime, replacing or repairing parts before failure. Reduce energy costs and track sustainability goals in real time, improving building operations and reducing greenhouse gas emissions. Connect disparate health record systems to optimize patient visits and decrease waitlist time.

At the core of all C3 AI products is a proprietary, model-driven AI architecture that dramatically enhances data science and application development. The C3 AI Platform allows customers to develop, deploy, and operate large-scale AI, predictive analytics, and IoT applications. And a broad portfolio of turnkey AI applications allows for even faster development and deployment. From reliability and readiness to supply chain optimization and energy management, C3 AI has deep industry expertise to get your enterprise started on its digital transformation.

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