Senior AI Solutions Architect - Strategy & Pre-Sales

Apgar Group; Neuilly-sur-Seine; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Company health insurance

75% transit reimbursement

Résumé du poste

APGAR is seeking an AI Solutions Architect to lead strategic AI design and client engagements in a hybrid role based in Neuilly‑sur‑Seine. You will drive architectural decisions, leverage Agentic and Generative AI, ML, NLP, and RAG architectures while ensuring governance, MLOps, and security across enterprise deployments.

You will mentor teams, lead workshops, and contribute to reusable AI accelerators and assets, collaborating with partners on cloud deployments (Azure/AWS/GCP) and delivering

Qualifications

• PhD or Master’s degree in Computer Science, AI, Data Science, or related field.
• 7+ years of experience in AI, software engineering, data science, or related fields.
• Proven experience delivering enterprise AI solutions and leading client-facing initiatives.
• Strong track record in pre-sales, solution architecture, and business development.

Responsabilités

• AI Strategy & Architecture: design scalable AI architectures aligned with business objectives.
• Client Advisory & Business Transformation: guide clients through AI transformation and value realization.
• Pre-Sales & Business Development: lead technical pre-sales activities and craft compelling proposals.
• Technical Leadership: mentor AI consultants and ensure architectural quality across projects.
• Innovation & Technology Watch: monitor trends in LLMs, Agentic AI, and AI tooling.

Connaissances

Agentic AI

Generative AI

Machine Learning

NLP

RAG architectures

Information retrieval

LLM governance

MLOps

Python

Azure

AWS

Google Cloud

Kubernetes

Formation

PhD or Master’s degree in related field

Outils

Python

Kubernetes

Cloud platforms

Description du poste

APGAR is seeking an AI Solutions Architect to lead strategic AI design and client engagements in a hybrid role based in Neuilly‑sur‑Seine. You will drive architectural decisions, leverage Agentic and Generative AI, ML, NLP, and RAG architectures while ensuring governance, MLOps, and security across enterprise deployments.

You will mentor teams, lead workshops, and contribute to reusable AI accelerators and assets, collaborating with partners on cloud deployments (Azure/AWS/GCP) and delivering