Senior Solutions Engineer – Financial Services (Graph AI)

Neo4j, Inc.; Greater London; In loco; GBP 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Neo4j is seeking a Solutions Engineer for Financial Services to help strategic customers design Neo4j-powered solutions that deliver measurable business value. You will translate complex requirements into tailored architectures, demonstrate capabilities, and engage with technical decision-makers throughout the sales cycle.

The role requires 5+ years in pre-sales or solutions engineering for enterprise customers, strong NoSQL and graph-technology expertise, GenAI knowledge, and the ability to

Competenze

• 5+ years in PreSales / Solutions Engineering or Professional Services for enterprise customers.
• Strong NoSQL and graph database knowledge.
• GenAI, LLM architectures, RAG or Agentic AI familiarity.
• Ability to translate business requirements into effective solution architectures.
• Programming or scripting knowledge (Java, Python, JavaScript, etc.).
• Consultative guidance through complex engagements.
• Willingness to learn and adapt to emerging tech.
• Ability to lead technical workshops and align with sales cycles.

Mansioni

• Act as central architect in engagements from discovery to architecture design and value proof.
• Build and nurture relationships with strategic enterprise customer teams.
• Collaborate with Account Executives to communicate technical and business impact.
• Ensure technical alignment and smooth Neo4j integration into environments.
• Provide architectural recommendations aligned with IT landscapes.
• Design and present Neo4j-based prototypes showing feasibility and value.

Strumenti

Neo4j

Cypher

GDS

GraphQL

Descrizione del lavoro

Neo4j is seeking a Solutions Engineer for Financial Services to help strategic customers design Neo4j-powered solutions that deliver measurable business value. You will translate complex requirements into tailored architectures, demonstrate capabilities, and engage with technical decision-makers throughout the sales cycle.

The role requires 5+ years in pre-sales or solutions engineering for enterprise customers, strong NoSQL and graph-technology expertise, GenAI knowledge, and the ability to