About the Role
As a Presales Engineer in our Cloud Department, you will play a pivotal role in interfacing with clients and guiding them through their digital transformation journeys using Cognite Data Fusion (CDF) and other cutting-edge technologies. You will be essential in providing technical expertise, building and driving use cases, and demonstrating how integrated cloud, AI, and data analytics solutions can drive transformative business outcomes.
Responsibilities:
- Engage with the sales team to understand customer requirements and craft highly tailored solutions integrating cloud infrastructure, AI, and data analytics.
- Design and demonstrate solutions leveraging Cognite Data Fusion, AI technologies, and modern infrastructure to address complex business challenges.
- Lead technical presentations and demonstrations for clients, focusing on the value and integration of AI and data analytics into their existing systems.
- Develop a comprehensive understanding of CDF’s data model, API, SDKs, and integration with AI platforms.
- Act as a technical advisor during customer interactions, ensuring solutions meet their business and technical needs.
- Prepare detailed responses to RFPs/RFIs and technical proposals that clearly articulate the benefits of our solutions.
- Ensure successful onboarding and implementation of solutions, and provide ongoing support to ensure client satisfaction.
- Stay current with industry trends, competitor activities, and advancements in AI, cloud technology, and DevOps practices.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field.
- At least 4 years of experience in a presales, technical consulting, or solution architecture role focused on cloud technologies, AI, and data analytics.
- Deep expertise in cloud platforms (AWS, Azure, Google Cloud) and strong familiarity with Cognite Data Fusion or similar platforms (e.g., DataRobot, Siemens, AVEVA).
- Proven ability in integrating AI and data analytics into enterprise solutions.
- Knowledge of DevOps practices and modern infrastructure technologies is a plus.
- Strong communication and presentation skills, capable of effectively articulatingtechnology solutions to both technical and non-technical audiences.
- Demonstrated ability to solve complex problems with innovative solutions.
- Experience with data security, privacy standards, and compliance frameworks.
Desirable Skills:
- Relevant certifications in cloud technologies (AWS Certified, Azure Solutions Architect), AI, or data analytics or modernization.
- Experience in industrial sectors like manufacturing, energy, or utilities.
- Practical experience with DevOps tools and methodologies.
- Proficiency in Python and familiarity with other programming languages such as Java or JavaScript.
- Experience with Python libraries like Pandas, NumPy, and TensorFlow or PyTorch for data analysis and machine learning.
- Practical ability to develop scripts and tools that enhance efficiency and functionality within cloud and AI solutions.
- Demonstrated experience in using Python for API interactions, data manipulation, and automation tasks.