Generative AI Strategy & Solutions Architect

Reply

Lazio

In loco

EUR 37.000 - 65.000

Tempo pieno

10 giorni fa
Generatore di candidature

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Vantaggi offerti da questo lavoro

Structured career path
Continuous learning
Benefits and community access

Descrizione del lavoro

Reply is seeking an AI Strategist with expertise in specialized models, client workshops, and data-driven AI solutions. You will interview stakeholders, run structured workshops, and translate priorities into concrete AI use cases across the Reply Model Factory.

You will collaborate with data scientists, engineers, and strategists to shape model strategy, define datasets, and assess data readiness for training, pretraining, or post-training paths.

Competenze

  • Experience designing AI strategies and AI solutions, especially Generative AI for specialized models.
  • Proven ability to interview stakeholders, facilitate workshops, and gather functional/technical requirements.
  • Ability to assess data availability, quality and readiness for training and deployment.

Mansioni

  • Interview client stakeholders and run structured workshops to capture priorities.
  • Translate business needs into concrete AI use cases across the Reply Model Factory.
  • Define data readiness, data siting and determine paths for training (pretraining/post-training).
  • Collaborate with teams on model strategy, dataset definition, and evaluation frameworks.

Conoscenze

Stakeholder interviews
Workshop facilitation
Data readiness assessment
Generative AI strategy
Cross-functional collaboration
Communication skills

Formazione

Degree in AI / AI-related field

Strumenti

Foundation Models
LLMs
Data pipelines

Descrizione del lavoro

Reply is seeking an AI Strategist with expertise in specialized models, client workshops, and data-driven AI solutions. You will interview stakeholders, run structured workshops, and translate priorities into concrete AI use cases across the Reply Model Factory.

You will collaborate with data scientists, engineers, and strategists to shape model strategy, define datasets, and assess data readiness for training, pretraining, or post-training paths.

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