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# AI Architect - GCP / Generative AI

- **Company:** Capgemini
- **Location:** Charlotte, NC, United States
- **Salary:** $82,909.0 - $129,563.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Continuous Integration, Information Engineering, Amazon DynamoDB, Make (Software), Identity and Access Management, Python (Programming Language), Machine Learning, Natural Language Processing, Search Technologies, Shell Script, Google Cloud, Chatbots, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, Amazon Relational Database Service, Apache Kafka, Machine Learning Operations, Terraform, Microservices
- **Published:** October 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=26593bdfa803230a

## About the Role

* Experience as an AI Architect or GCP AI Architect.
 * Experience with AI/ML engineering and enterprise architecture.
 * Experience with AI, NLP, LLM, and Conversational AI solutions.
 * Experience with Generative AI, RAG, and Agentic AI.
 * Experience with Python.
 * Experience with Google Cloud Platform (GCP).
 * Experience with LLMOps and MLOps.

Required Technical Skills

 * Google Cloud Platform (GCP)
 * Python
 * NLP
 * Generative AI
 * LLMs
 * RAG
 * Agentic AI
 * Conversational AI
 * LLMOps
 * MLOps

Preferred Qualifications

 * BigQuery
 * GKE
 * Vector Search
 * Data Engineering
 * Microservices
 * APIs
 * IAM/Security
 * Terraform
 * CI/CD

## Description

BigQuery, Cloud SQL, Firestore, AWS RDS/Redshift/DynamoDB, messaging with Pub/Sub/Kafka (preferred)
data engineering
GCP
Python (3.x), Shell scripting, Makefiles, CI/CD for verification
llm, Communications is seeking an experienced AI Architect / GCP AI Architect to architect and deliver scalable AI, NLP, LLM, and Conversational AI solutions supporting high-volume customer interactions. This role requires a combination of hands-on AI/ML engineering and enterprise architecture experience, with a focus on Python, Generative AI, LLMs, RAG, Agentic AI, LLMOps/MLOps, and Google Cloud Platform (GCP)., * Architect and deliver scalable AI solutions supporting high-volume customer interactions.

 * Design and implement AI, NLP, LLM, and Conversational AI solutions.
 * Support the development of Generative AI, RAG, and Agentic AI solutions.
 * AI/ML engineering and enterprise architecture practices to solution delivery.
 * Utilize Python and GCP technologies in AI solution development.
 * Support LLMOps and MLOps practices.