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- Tasks: Design and deploy custom AI applications while engaging with customers post-sales.
- Company: C3 AI is a leader in data-driven enterprise AI solutions.
- Benefits: Enjoy competitive pay, excellent benefits, and opportunities for travel.
- Why this job: Join a hands-on team that values innovation and customer collaboration.
- Qualifications: 5+ years in system integration; expertise in cloud architectures and programming languages required.
- Other info: Travel to customer sites up to 30% of the time.
The predicted salary is between 48000 - 84000 £ per year.
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., * Engage directly with customers in a post-sales capacity to configure and implement a full-stack AI solution according to functional and performance requirements
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Drive discussions on architecture and engineering to articulate the capabilities of the C3 AI Platform and its interoperability with existing systems
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Design and implement reference architectures to deliver scalable and reusable solutions
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Develop new specs, documentation, and participate in the development of technical procedures and user support guides
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Assess technical risks and come up with mitigation strategies
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Collaborate with internal engineering and product teams to incorporate customer feature and enhancement requests into core product offerings
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Travel to customer sites (up to 30%)
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Bachelor’s degree in engineering, computer science, or related fields
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5+ years of experience (8+ years for Senior AI SA) with system/data integration, development, or implementation of enterprise and/or cloud software
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Deep understanding of enterprise architecture and enterprise application integration (File, API, Queues, Streams)
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Extensive hands-on expertise in Big Data, Distributed Systems, and Cloud Architectures (AWS, Azure, GCP)
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Demonstrated proficiency with Python, JavaScript, and/or Java
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Experience with relational and NoSQL databases (any vendor)
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Solid understanding of data modeling best practices
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Strong organizational and troubleshooting skills with attention to detail
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Strong analytical ability, judgment, and problem-solving techniques
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Excellent verbal and written communication and presentation skills
Preferred Qualifications:
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Expertise in Postgres, Cassandra
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Experience with stream processing frameworks (Kafka, Kinesis)
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Experience with container-based deployments using Kubernetes or OpenShift
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Experience designing and maintaining DataOps and MLOps in Production environments
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Working knowledge of Machine Learning algorithms
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Familiarity with Commercial LLMs, including a comprehensive understanding of their integration, customization, and management
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Familiarity with vector databases (e.g., PGVector, FAISS) for efficient embedding storage and retrieval in RAG applications
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Familiarity with AI/ML-related technologies and tools (MLFlow, KubeFlow, AWS SageMaker, Azure MLStudio)
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Experience with Information, Network, &, Infrastructure Security concepts
C3 AI, provides excellent benefits and a competitive compensation package.
AI Solution Architect/Senior AI Solution Architect (Post-Sales) employer: C3 AI
Contact Detail:
C3 AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solution Architect/Senior AI Solution Architect (Post-Sales)
✨Tip Number 1
Make sure to familiarize yourself with the C3 AI Platform and its capabilities. Understanding how it integrates with existing systems will help you articulate its value during discussions with potential employers.
✨Tip Number 2
Highlight your hands-on experience with Big Data and Cloud Architectures in your conversations. Being able to discuss specific projects where you've implemented these technologies will demonstrate your expertise.
✨Tip Number 3
Prepare to discuss your approach to data modeling and how you've tackled technical risks in past projects. This will showcase your problem-solving skills and attention to detail, which are crucial for this role.
✨Tip Number 4
Engage with the community around AI and cloud technologies. Networking with professionals in the field can provide insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace AI Solution Architect/Senior AI Solution Architect (Post-Sales)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Solution Architect position. Familiarize yourself with the C3 AI Platform and its capabilities to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with system/data integration, cloud software, and enterprise architecture. Be specific about your hands-on expertise in Big Data, Distributed Systems, and Cloud Architectures.
Showcase Technical Skills: Clearly outline your proficiency in programming languages like Python, JavaScript, and Java. Mention any experience with databases, stream processing frameworks, and container-based deployments to demonstrate your technical capabilities.
Communicate Effectively: Since this role involves customer interaction, ensure that your application reflects strong verbal and written communication skills. Provide examples of how you've successfully communicated complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at C3 AI
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Big Data, Distributed Systems, and Cloud Architectures. Highlight specific projects where you utilized Python, JavaScript, or Java, and be ready to explain your approach to system integration and data modeling.
✨Demonstrate Problem-Solving Skills
Expect to face scenario-based questions that assess your analytical ability and troubleshooting techniques. Prepare examples of past challenges you've encountered in implementation and how you successfully mitigated risks.
✨Engage in Architecture Discussions
Since this role involves driving discussions on architecture, practice articulating the capabilities of the C3 AI Platform. Be ready to explain how you would design scalable solutions and integrate them with existing systems.
✨Communicate Effectively
Strong verbal and written communication skills are crucial. Prepare to present your ideas clearly and concisely, and consider practicing a mock presentation of a technical concept to ensure you can convey complex information effectively.
