Agentic AI Consultant (AI Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Agentic AI Consultant (AI Engineering): Serving as a strategic and technical bridge between customer ambition and AI transformation by designing and operationalizing AI-powered experience orchestration solutions. Focus on building agentic systems, implementing evaluation frameworks for LLM performance, and ensuring enterprise-grade security and compliance.
Location: Must be based in France
Company
is an AI-powered Experience Orchestration platform that empowers organizations to create personalized customer and employee experiences at scale.
What you will do
- Partner with stakeholders to identify and prioritize AI use cases aligned with strategic business objectives.
- Define reference architectures and integration patterns for AI-powered experience orchestration.
- Deliver rapid POC and MVP implementations using Cloud AI suites.
- Design and implement evaluation frameworks to measure AI solution quality, including groundedness and relevance.
- Build automated evaluation pipelines for systematic iteration of prompt variants and model versions.
- Mentor customer and partner teams to build long-term AI maturity and self-sufficiency.
Requirements
- Proficiency in both French and English is required.
- 8–12 years of experience across AI implementation, CX/CCaaS consulting, or technical solution architecture.
- At least 5 years of experience implementing CX, CRM, or AI orchestration platforms.
- Hands-on experience building, evaluating, or operating LLM-powered agents in production.
- Strong technical background in APIs, data pipelines, and modern cloud environments (AWS, Azure, GCP).
- Applied data analysis skills using Python and SQL for evaluation and integration development.
Culture & Benefits
- Opportunity to make a significant impact on enterprise-level AI transformation.
- Collaborative environment focused on empathy and innovation.
- Access to competitive benefits and perks typical of large technology companies.
- Emphasis on employee independence and ownership of work.
- Commitment to responsible AI design and ethical standards.
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