At a Glance
- Tasks: Design and deploy custom AI applications using the C3 AI Platform.
- Company: C3.ai, a leading Enterprise AI software provider.
- Benefits: Competitive salary, excellent benefits, and opportunities for growth.
- Other info: Work in a collaborative environment with a focus on innovation.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in system integration and strong coding skills required.
The predicted salary is between 80000 - 100000 £ per year.
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.
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 very 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.
- 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:
- Bachelor’s degree in engineering, computer science, or related fields.
- Deep understanding of enterprise architecture and enterprise application integration (File, API, Queues, Streams).
- 5+ years of experience with system/data integration, development, or implementation of enterprise and/or cloud software.
- 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 in a cross-functional team.
- Ability to travel up to 30%.
Preferred Qualifications:
- Expertise in Postgres and Cassandra.
- Experience with Hadoop, Spark, and Cloud databases (Snowflake, BigQuery, Redshift, Databricks).
- 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 AI/ML-related technologies and tools (MLFlow, KubeFlow, AWS SageMaker, Azure MLStudio).
- Experience with Information, Network, & Infrastructure Security concepts.
C3 AI provides a competitive compensation package and excellent benefits. 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.
AI Solution Architect (Post-Sales) in London employer: C3 AI
C3.ai, Inc. is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to drive digital transformation through cutting-edge AI solutions. With a strong focus on professional growth, C3.ai offers extensive training opportunities and encourages collaboration across teams, ensuring that every employee can contribute meaningfully to impactful projects. Located in a vibrant tech hub, the company provides competitive compensation and comprehensive benefits, making it an attractive choice for those seeking a rewarding career in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect (Post-Sales) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with C3.ai employees on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AI solutions, especially those relevant to the C3 AI Platform. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing architecture and engineering topics related to enterprise AI applications. Mock interviews with friends or mentors can really boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the C3.ai team.
We think you need these skills to ace AI Solution Architect (Post-Sales) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Solution Architect role. Highlight your hands-on experience with enterprise architecture and cloud technologies, as these are key for us.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with data integration and analytics.
Showcase Your Projects:If you've worked on relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially in areas like Big Data and cloud architectures.
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at C3 AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around enterprise architecture and cloud platforms like AWS, Azure, and GCP. Brush up on your Python, JavaScript, and Java skills, as well as your understanding of relational and NoSQL databases.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in system integration or data analysis. Highlight your analytical abilities and how you’ve used them to drive successful outcomes in previous roles.
✨Engage with Real-World Scenarios
Be ready to engage in discussions about real-world applications of AI solutions. Think of scenarios where you’ve designed or implemented AI applications, and be prepared to explain your thought process and the impact of your work.
✨Communicate Effectively
Since this role is customer-facing, practice articulating technical concepts in a way that’s easy for non-technical stakeholders to understand. Good communication can set you apart, so consider how you can convey your ideas clearly and confidently.