GenAI Architect — Enterprise Cloud AI Leader

Capgemini; Charlotte (NC); Sur place; USD 60 000 - 93 000; Plein temps

Résumé du poste

Capgemini is seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale AI solutions on Google Cloud Platform and AWS. You will collaborate with business stakeholders, data scientists, engineers, and product teams to deliver scalable and secure AI systems.

The role focuses on Generative AI, LLMs, RAG, Agentic AI, MLOps, and AI governance, with hands-on architecture using BigQuery, GKE, Vertex AI, Bedrock, SageMaker, and governance frameworks to

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, Data Science, AI, or related field.
• Proven experience designing enterprise GenAI solutions at scale.
• Strong knowledge of cloud platforms (GCP/AWS) and governance.

Responsabilités

• Define enterprise GenAI strategy, architecture standards, and roadmaps.
• Design and implement scalable GenAI solutions with foundation models and custom LLMs.
• Architect RAG-based systems integrating structured and unstructured data.
• Develop agentic AI solutions using multi-agent frameworks and orchestration platforms.
• Evaluate foundation models based on business needs, cost, security, and performance.
• Create reference architectures, reusable frameworks, and best practices.
• Architect AI pipelines using BigQuery, Cloud Functions, Dataflow, and GKE.

Connaissances

GenAI architecture

Stakeholder comms

Architecture leadership

Governance

Formation

Bachelor's/Master's in CS/IT/Data Science/AI

Outils

GCP

AWS

BigQuery

Dataflow

GKE

Vertex AI

Bedrock

SageMaker

OpenSearch

Terraform

Docker

GitHub Actions

Jenkins

MLflow

LangChain

Semantic Kernel

Kubernetes

Pinecone

Weaviate

Chroma

FAISS

OpenSearch Vector Engine

Description du poste

Capgemini is seeking an experienced GenAI Architect to lead the design, development, and implementation of enterprise-scale AI solutions on Google Cloud Platform and AWS. You will collaborate with business stakeholders, data scientists, engineers, and product teams to deliver scalable and secure AI systems.

The role focuses on Generative AI, LLMs, RAG, Agentic AI, MLOps, and AI governance, with hands-on architecture using BigQuery, GKE, Vertex AI, Bedrock, SageMaker, and governance frameworks to