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.
Senior Enterprise 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 comprehensive training and development opportunities, competitive compensation, and a collaborative environment that values diversity and inclusion. Located in a vibrant tech hub, employees benefit from a stimulating atmosphere that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding careers in the AI industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Enterprise AI Solution Architect — Post-Sales in London
✨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 repo 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. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Senior Enterprise AI Solution Architect — Post-Sales in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Enterprise AI Solution Architect role. Highlight your experience with enterprise architecture, cloud software, and any relevant projects that showcase your skills in AI applications.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at C3.ai. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your proficiency in Python, JavaScript, and any experience with Big Data or cloud architectures. We love seeing candidates who can demonstrate their hands-on skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 assessed technical risks and implemented solutions, especially in a post-sales context. This will demonstrate your hands-on experience and analytical abilities.
✨Engage with Real Scenarios
Be ready to engage in role-play scenarios or case studies during the interview. Practice articulating how you would configure and implement AI solutions based on customer requirements. This shows that you can think on your feet and apply your knowledge practically.
✨Communicate Effectively
Since this role involves collaboration with cross-functional teams, practice your communication skills. Be prepared to explain complex concepts in simple terms, as you’ll need to articulate the capabilities of the C3 AI Platform to customers and team members alike.