C3.ai, Inc.
AI Solution Architect/Senior AI Solution Architect (Post-Sales)
C3.ai, Inc., Tysons Corner, Virginia, United States
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 Application 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 very hands-on and requires a perfect combination of a "big picture," solution-oriented mindset, and solid implementation skills.
This role requires US Citizenship. Active Department of Defense security clearance (Secret or higher) is preferred.
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 Application 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
Support, monitor, and execute production AI application jobs and processes
Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings
Qualifications
5+ years of experience (8+ years for Senior AI SA) with system/data integration, development, or implementation of enterprise and/or cloud software
Bachelor's degree in engineering, computer science, or related fields. 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
Interpersonal and communication skills with the ability to work effectively across functional teams
Ability to travel up to 30%
Preferred Qualifications
TS/SCI Clearance (preferably DoD)
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.
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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 Application 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 very hands-on and requires a perfect combination of a "big picture," solution-oriented mindset, and solid implementation skills.
This role requires US Citizenship. Active Department of Defense security clearance (Secret or higher) is preferred.
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 Application 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
Support, monitor, and execute production AI application jobs and processes
Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings
Qualifications
5+ years of experience (8+ years for Senior AI SA) with system/data integration, development, or implementation of enterprise and/or cloud software
Bachelor's degree in engineering, computer science, or related fields. 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
Interpersonal and communication skills with the ability to work effectively across functional teams
Ability to travel up to 30%
Preferred Qualifications
TS/SCI Clearance (preferably DoD)
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.
#J-18808-Ljbffr