Sr. AI/ML Solution Architect UK (Pre-sale engineer)

ArangoDB
2 months ago
Applications closed

Related Jobs

View all jobs

Sr. AI Lead (Gen AI)

Sr. AI Lead (Gen AI)

Industry 4.0 Sr Application Developer

Sr. Machine Learning Engineer London, UK

Sr. Customer Technical Architect

Sr. Red Team Engineer (Remote)

Sr. Solution Architect - UK About ArangoDB Founded in Germany and now headquartered in San Francisco, ArangoDB is the most highly scalable, open-source, Graph Database with AI/ML capabilities available in the market. In addition to graphs, it is natively supporting a number of data models including Document, and Key-Value as well as Full-Text Search and Retrieval. It serves as the scalable backbone for Graph-Analytics and complex data architectures across many different industries. Developers can build high-performance applications using a convenient SQL-like query language or JavaScript extensions. Find out more at the Company page and follow us on Linkedin . As a Data Science Solution Architect at ArangoDB, you are both a pre-sales technical consultant and a product evangelist. Through product presentations, Proof of Concepts, and community engagement, you demonstrate to clients the technical problem-solving abilities of our Data Science suite as well as core capabilities and discuss use cases directly with data scientists, developers, ML ops teams, and managers on different levels.   Location: UK Only candidates in the UK will be considered for the position. While this is a work-from-home role, some travel to client locations may be required.   You Will: 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. Other duties as assigned from time to time.   Your Skills: 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 You have a broad and thorough knowledge of systems and application design as well as in-depth knowledge of (NoSQL) databases and distributed systems. You are a high-energy, upbeat, tenacious team player with outstanding interpersonal skills and you have the ability to persuade others through presentations, demonstrations, and written communication. Others would describe you as a 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. You are 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   Why Join ArangoDB Our headquarters is in San Francisco (US) and we have an office in Cologne (Germany), but most of our diverse team works remotely worldwide. So, do you prefer your desk at home or do you want to join us at one of our locations? Your choice. The ArangoDB team comes from 5 different continents and more than 20 countries. Diverse backgrounds enable us to see new solutions. We invite people from every culture, national origin, religion, sexual orientation, gender identity or expression, and of every age to apply to our positions. All employment decisions are based on business needs, job requirements, and individual qualifications. Arango is committed to a workplace free of discrimination and harassment based on any of these characteristics. We love this diversity and encourage everyone curious and visionary to join the multi-model movement. Powered by JazzHR

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.