Senior Solutions Engineer for Financial Services
at Neo4j
London, senior, full time, 5+ years
posted 10 Sept 2026
- GenAI
- Semantic retrieval
- Java
- Vector search
- GraphQL
- Cypher
- LLM
- Agentic AI
- Embeddings
- NoSQL
- Graph data science
- Neo4j
- ML pipelines
- Network analysis
- Data integration
- JavaScript
- GDS
- RAG
- ETL
- Data virtualization
- Python
About the role
Posted: 2026-09-10
What you would do
- Act as a central player in Neo4j Solution Engineering engagements, supporting customers across the entire customer lifecycle — from early discovery to architecture design, proof-of-value, and long-term adoption.
- Build and nurture strong relationships with strategic and enterprise customer teams.
- Partner closely with Account Executives to communicate the technical and business impact of graph solutions.
- Ensure strong technical alignment and smooth integration of Neo4j into customer environments.
- Provide architectural recommendations aligned with customer strategies and IT landscapes.
- Design and present Neo4j-based prototypes that demonstrate both technical feasibility and business value.
Key Role Characteristics
- Experience: At least 5 years in PreSales / Solutions Engineering or Professional Services, ideally with enterprise customers in Financial Services.
- Database Expertise: Strong understanding of database platforms, particularly NoSQL.
- Knowledge of GenAI, LLM architectures, RAG, or Agentic AI frameworks.
- Solution Design: Ability to translate business requirements into effective solution architectures.
- Technical Proficiency: Familiarity with a programming or scripting language (Java, Python, JavaScript, etc.).
- Consultative Skills: Proven experience guiding technical teams through complex, consultative engagements.
- Adaptability: Strong desire to learn and quickly adopt emerging technologies.
- Problem-Solving: Passion for tackling complex technical challenges with innovative solutions.
- Enablement: Ability to lead technical workshops and small-group sessions.
- Sales Alignment: Comfortable managing the technical aspects of enterprise sales cycles.
Beneficial Qualifications
- Hands-on experience with graph technologies (Neo4j, Cypher, GDS, GraphQL).
- Experience with vector search, embeddings, or semantic retrieval.
Read from boards.greenhouse.io, last seen 3d ago.