Open role · Engineering

Solutions Engineer

Work mode: Remote (flexible) Engagement type: Full-time Contract Req ID: GDBI-9S1U3P7R

Role summary

Bridge enterprise sales and technical delivery by leading discovery, demonstrations and solution architecture for NoèmeX products, data platforms and AI capabilities.

What you’ll do

Lead technical discovery with prospective and existing enterprise customers.
Demonstrate NoèmeX products and data/AI capabilities using relevant customer scenarios.
Design solution architectures, integration approaches and phased implementation paths.
Support RFPs, RFIs, security reviews and technical due diligence during the sales cycle.
Translate customer architecture, governance and data constraints into credible solution plans.
Partner with Sales, Product and Professional Services from opportunity shaping through handoff.

What you should bring

Strong technical foundation in enterprise data platforms, cloud architecture and analytics.
Experience in solutions engineering, technical consulting, architecture or customer-facing engineering.
Ability to present complex technical ideas clearly to both executives and engineering teams.
Comfort leading discovery and mapping business problems to technical capabilities.
Practical knowledge of AWS and/or Azure, integrations, data governance and BI.
Strong written communication for proposals, security questionnaires and solution documentation.

Useful additional experience

Pre-sales experience with enterprise software
AI/ML solution architecture
RFP and security-review experience
French language proficiency

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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