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AI Solutions Architect

AI Engineer Full-time Remote-first; team works from all over the world, with annual onsite

Job details

Not specified Salary
Remote-first; team works from all over the world, with annual onsite Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Design and deliver production-ready AI workflows for a platform that helps organizations measure and reduce their carbon footprint. The role focuses on selecting and combining existing models, services, and data flows into a scalable, maintainable architecture, with attention to accuracy and compliance. You will collaborate with sustainability specialists and a platform integration developer to turn user needs into working features.

Responsibilities - Choose and connect AI, language-processing, OCR, and rules-based tools to address product needs. - Build modular pipelines that support changing or upgrading models without redesigning the whole system. - Prototype workflows and work with a developer to integrate them into backend services. - Improve performance for both large batch jobs and real-time use. - Handle varied data sources and add confidence scoring, explanations, traceability, fallback paths, and human review. - Translate domain needs into technical designs with subject-matter experts and guide implementation of AI data structures and backend logic.

Requirements - Demonstrated experience designing end-to-end AI pipelines that combine multiple models or services. - Experience integrating NLP and LLM workflows, including embeddings, prompt design, and APIs. - Strong software engineering skills, preferably in Python, with sound code quality and architecture practices. - Experience with cloud and API integrations; familiarity with AWS and managed AI services is preferred. - Ability to build data validation, explainability, traceability, and human review into systems. - Experience taking AI systems into production in accuracy-critical or regulated fields.

Nice to have - Background in carbon accounting, ESG reporting, or sustainability analytics. - Familiarity with semantic search and vector similarity systems. - Experience developing B2B SaaS products in a scale-up setting.

Benefits and work setup Full-time engagement is available on a contract basis, or through payroll in Belgium. The role is remote, with an annual onsite gathering, and includes a flexible working environment and competitive compensation.

Skills detected in the listing

PythonAWSMachine LearningLLM
Detected Nov 6, 2026
Last verified Nov 12, 2026

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