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 professional growth.
- Other info: Collaborative environment with a focus on innovation and customer impact.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: 5+ years in system integration and strong programming 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.
- 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%.
- 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) 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 comprehensive training and development opportunities, competitive compensation, and a collaborative environment that values diverse perspectives. Located in a vibrant tech hub, the company provides unique advantages such as access to industry-leading technologies and a chance to work alongside top-tier professionals in the field.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect (Post-Sales)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and data integration. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI solutions. Think about how you’d tackle real-world problems using the C3 AI Platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Solution Architect (Post-Sales)
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 software, as well as any relevant projects you've worked on.
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 your problem-solving skills.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your expertise in Python, JavaScript, or Java, and any experience with databases or cloud platforms. We love seeing candidates who can demonstrate their technical prowess.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
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, like Python, JavaScript, and cloud platforms. Brush up on your knowledge of enterprise architecture and data integration techniques, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in previous roles. Think about how you’ve approached system integration or data modelling challenges, and be ready to explain your thought process and the outcomes.
✨Engage with Real-World Scenarios
Since this role is customer-facing, practice articulating how you would engage with clients to understand their needs. Be prepared to discuss how you would design and implement AI solutions tailored to their requirements, showcasing your solution-oriented mindset.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the company and the role. Inquire about the team’s current projects, the challenges they face, or how they measure success in post-sales engagements. This shows you’re not just interested in the job, but also in contributing to the team’s goals.
