Solutions Engineer (Toronto, ON or Remote EST)

About the role:

As a Solutions Architect at Private AI, you will play a crucial role in driving the adoption of our industry-leading AI solutions. Working closely with the sales and product teams, you will be the technical face of Private AI, providing pre-sales support, conducting product demonstrations, and ensuring successful post-sales implementation. This position offers a unique opportunity to contribute to the growth of a forward-thinking startup and be part of a team dedicated to advancing privacy-preserving technologies.

Responsibilities:

Technical Expertise:

• Strong understanding and experience in RESTful APIs, JSON, OAuth, and other relevant API technologies.
• Experience working with cloud infrastructure like AWS, Azure; configuring, deploying and debugging production environments with customers.
• Develop a deep understanding of Private AI's suite of privacy-preserving AI solutions.
• Stay informed about industry trends, competitor offerings, and emerging technologies.
• Proficiency in AI and machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.

Pre-Sales Support:

• Collaborate with the sales team to understand customer requirements and present technical solutions.
• Craft and conduct product demonstrations and articulate the technical advantages of Private AI's offerings.

Solution Design and Proof of Concept:

• Lead the development and execution of PoCs to showcase the capabilities and security of Private AI's solutions.
• Address technical queries and concerns during the evaluation phase.
• Work closely with clients to design and architect privacy-preserving AI solutions tailored to their needs.
• Provide technical guidance on integration strategies, ensuring alignment with client objectives.

Documentation and Training:

• Create and maintain technical documentation, tutorials, and guides to facilitate client understanding and implementation.
• Conduct training sessions for clients and internal teams on the technical aspects of Private AI products.

Post-Sales Implementation:

• Collaborate with the customer success team to ensure smooth and successful deployment of Private AI solutions.
• Provide ongoing technical support and troubleshooting assistance.
• Act as a liaison between clients and the product development team, conveying valuable insights and feedback for continuous improvement.

About You:

• Proven enterprise experience as a Presales, Sales Engineer, Solutions Engineer, or similar role in the AI or technology industry.
• Strong understanding of privacy-preserving machine learning, natural language processing, and AI technologies including federated learning, homomorphic encryption, and secure multiparty computation.
• Proficiency in programming languages such as Python, Java, or JavaScript.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts effectively.
• Knowledge of data processing platforms like Apache Spark and analytics platforms like Snowflake and Azure Databricks.
• Customer-centric mindset and a passion for delivering exceptional technical solutions.
• Bachelor’s degree in a technical field (e.g., Computer Science, Information Systems) or equivalent practical experience.