1 week ago

AI Solutions Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and deliver technical solutions across the sales cycle for AI agents used by finance and insurance enterprises. Lead technical discovery, run tailored demos, and own end-to-end proofs of concept—scoping success criteria, building prototypes in the V7 Go platform, and presenting results to technical and business stakeholders. Tackle qualification, objections, and security/architecture questions, then feed learnings back to product and engineering to accelerate deal wins and improve the platform.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Partner with Account Executives across the sales cycle: lead technical discovery, run buyer-tailored demos, and shape the technical win strategy.
•Own proofs of concept end to end—from scoping success criteria with the customer to building prototypes in V7 Go and presenting results.
•Handle technical qualification and objection handling, including security or architecture questions, and respond to RFPs when needed.
•Build working prototypes using prompt engineering, data pipelines, and integrations to validate real customer use cases.
•Translate customer problems into clear solution visions and feed patterns/objections back to product and engineering.

Pay and Benefits

Salary: USD 180,000 - 230,000 annually

Equity and Bonus:Equity

Key Requirements

•Presales or sales engineering experience selling technical products into enterprise and winning technical evaluations.
•Comfort owning the technical side of the deal alongside an Account Executive (discovery, demos, POCs, and stakeholder management).
•Experience delivering Large Language Model projects with customers, including LLM API integration and knowledge of foundation models.
•Ability to develop and articulate an AI solution vision to technical and business stakeholders, mapping value to business needs.
•A love for coding, specifically with Python.

Experience:EnterpriseAILLMsFintechInsurance

Skills:Customer-facing communicationRelationship buildingTechnical problem-solvingRapid prototyping

Tech Stack:PythonGPTClaudeGeminiTransformersLLM APIPrompt engineeringData pipelinesIntegrations

Company Brief

Provides a computer vision platform for labeling, managing, and training AI models on image and video data, helping enterprises accelerate ML workflows with automated annotation, dataset versioning, and model evaluation tools.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: London, United Kingdom

Founded: 2017

Website LinkedIn

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