Cyber Security Customer Solution Architect delivering integrated security solutions for the Canadian federal government. Collaborating with various teams to enhance cybersecurity posture while supporting federal compliance initiatives.
About the role
- Solutions Engineer delivering technical presentations and building demos for Arango's GenAI suite. Collaborating with the Sales team and contributing to marketing-related events.
Responsibilities
- Craft and deliver outstanding technical presentations and architecturally sound demonstrations of Arango and its GenAI suite for clients.
- Deliver demonstrations, 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.
- Utilize existing skillset and acquired Arango knowledge to build functional demos for various use cases that incorporate the core database as well as GenAI capabilities.
- Evangelize Arango’s GenAI suite & core DB to prospects and potentially in 3rd party presentations and panel discussions designed to generate awareness.
- Solve technical problems of our (potential) clients with the best solution.
- Work closely with the Sales team in the US and Europe, participating in client meetings.
- 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 Arango community.
- Other duties as assigned from time to time.
Requirements
- Bachelor's degree in Computer Science or relevant experience
- 5+ years of experience in a technical sales or consulting capacity with enterprises, focusing on AI solutions, databases, data warehouses, big data systems, analytics, and machine learning.
- Technical understanding of data and AI/ML tooling, workflows, and trends in an enterprise setting
- Experience or knowledge of vector, NoSQL databases, and/or distributed database systems
- Experience building and integrating LLMs, extra points for Retrieval-Augmented Generation (RAG) systems
- Strong Architecture skills - ie, mapping a business to technical requirements and understanding multiple components to build a solution
- Proficiency in Python and SQL
- Working knowledge of Graph analytics/data science algorithms, ML tasks like Node Classification, Node Similarity, Link Prediction, and related concepts.
- Knowledge of key infrastructure stacks (AWS, Linux, Docker, Kubernetes, etc.)
- Experience with various operating systems (Linux, Windows), cloud, and data storage
- High-energy, upbeat, tenacious team player with outstanding interpersonal skills
- Others would describe you as a self-starter and a perpetual learner
- Strong understanding of the sales process
- Fluent in English, both verbal and written.
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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