2 дня назад
AI Solutions Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Architect (AI Testing): Designing and delivering AI testing offerings for complex AI-powered applications, including agentic systems, LLMs, and RAG architectures, with an accent on evaluation frameworks, service packaging, and human-in-the-loop validation. Focus on decomposing AI system architectures, building scalable testing methodologies, and combining deterministic graders, LLM-as-a-judge, and expert evaluation.
Location: 100% remote, open only to candidates residing in the United States
Company
provides a fully managed crowdsourced testing platform powered by proprietary intelligence technology, with global coverage across devices, payment methods, countries, and languages.
What you will do
- Define and maintain the AI testing service catalog, including offerings, tiers, packaging, delivery methodology, staffing models, and pricing structure.
- Design testing approaches for complex AI-powered applications, including autonomous agents, system prompts, foundation models, and RAG architectures.
- Support sales and engagement teams with discovery, scoping, technical advisory, and articulation of the AI testing value proposition.
- Advance the AI testing framework by combining deterministic code graders, LLM-as-a-judge evaluation, and human-in-the-loop validation.
- Act as a delivery escalation point, solve technical roadblocks, stand up environments, and make testing solutions scalable and repeatable.
- Create templates, curated training datasets, documentation, and thought-leadership materials for internal and external audiences.
Requirements
- Extensive hands-on experience developing, training, or fine-tuning machine learning models, NLP systems, or data pipelines.
- Hands-on familiarity with modern LLM evaluation frameworks such as DeepEval and RAGAs.
- Direct experience working with, deploying, or testing autonomous agent architectures, planning patterns, or multi-agent systems, including frameworks such as LangGraph, AutoGen, or CrewAI.
- Strong software engineering foundations and experience with deterministic and non-deterministic systems.
- Proven client-facing experience leading discovery calls, stakeholder workshops, and enterprise architecture consulting.
- Experience designing service offerings, understanding pricing dynamics, and developing go-to-market strategies in professional services or SaaS.
Culture & Benefits
- Fully remote and globally distributed work environment with asynchronous collaboration.
- Flexible paid time off, including national holidays, personal days, and sick days.
- Stock options and a $300 annual learning stipend.
- Inclusive, purpose-driven culture with an emphasis on collaboration, sustainable work practices, and professional development.
- Enterprise, global, subscription-based business with long-term customer relationships.
Hiring process
- Application and recruiter interview.
- TestGorilla assessment followed by approximately four team and stakeholder interviews.
- Reference checks, offer, and background check; the process typically takes 3–4 weeks.
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