AI Solution Architect/Senior AI Solution Architect (Post-Sales) job opportunity at C3 AI.

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C3 AI AI Solution Architect/Senior AI Solution Architect (Post-Sales)
Experience: 9-years
Pattern: full-time
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Solutions architect

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degreeBachelor's (B.Eng.)
loacation Redwood City, California, United States Of America
loacation Redwood City, ..........United States Of America

#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
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