AI Solutions Architect

Carbon+Alt+Delete; Stati Uniti; Remoto; USD 140.000 - 210.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Annual onsite gathering

Flexible working environment

Competitive compensation

Descrizione del lavoro

Carbon+Alt+Delete is seeking a results-driven engineer to design and deliver production-ready AI workflows for a platform that helps organizations measure and reduce their carbon footprint.

You will connect NLP, OCR, and rules-based tools, build modular pipelines, prototype workflows, and collaborate with sustainability specialists to ensure accuracy, compliance, and traceability. This remote role offers a flexible environment with an annual onsite gathering and competitive compensation.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

AI pipelines

NLP & LLM

Python

Cloud APIs

Explainability

Production systems

Strumenti

AWS

Descrizione del lavoro

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.