Senior AI/ML Solution Architect

5 days ago

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ArangoDB

WebsiteLinkedInAll Job Openings

NoSQL • Document Store • GraphDB • Key Value Store • Multi-Model

51 - 200 employees

Founded 2015

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

Description

• Craft and deliver outstanding technical presentations and architecturally sound demonstrations of ArangoDB and its Data Science suite for clients. • Drive Proof of Concepts/Technology (PoCs/PoTs) with prospects and customers, often in comparison to other (NoSQL) database technologies and other Machine Learning/AI enterprise solutions. • Solve technical problems of our (potential) clients with the best solution for the client in mind. • Work closely with the Sales Executives in the US and Europe, participating in client meetings. • Evangelize ArangoDB’s Data Science suite to prospects and potentially in 3rd party presentations and panel discussion designed to generate awareness. • Coordinate with Product Management and Marketing by providing them with detailed feedback regarding customer environment, demands, and trends. • Work with Marketing for contributions and feedback on technical whitepapers, conduct seminars, assist with trade shows and other marketing-related events in this area. • Communicate with and contribute to the worldwide ArangoDB community.

Requirements

• 5+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and machine learning) • Deep technical understanding of data and ML tooling, workflows, and trends in enterprise setting • Proficiency in Python, Spark, and/or SQL with experience developing ETL applications • Broad and thorough knowledge of systems and application design as well as in-depth knowledge of (NoSQL) databases and distributed systems • High-energy, upbeat, tenacious team player with outstanding interpersonal skills • Ability to persuade others through presentations, demonstrations, and written communication • Self-starter, perpetual learner, team player, and relationship builder • Bachelor's degree in Computer Science or relevant experience • Working knowledge of Neural Networks, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts • Fluent in English both verbal and written • Extra points for: Previous experience with Graph databases or frameworks, experience building and integrating LLMs, knowledge of infrastructure stacks (AWS, Linux, Scala, Docker, Kubernetes, Kafka, Spark, etc.), administration experience with various operating systems (Linux, Windows), distributed systems, cloud, and data storage