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.