Contract Enterprise AI Architect: GenAI on GCP & RAG

Capgemini; Charlotte (NC); On-site; USD 51,000 - 80,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Job summary

Capgemini in Charlotte, NC, on-site, seeks an experienced AI Engineer to design, build, and scale enterprise-grade AI/ML solutions focusing on Generative AI and GCP. You will work with Gemini Enterprise, Vertex AI, and modern LLM architectures to deliver secure, production-ready applications and engage directly with customers.

The role requires deep technical expertise and the ability to translate business challenges into scalable AI solutions, mentoring junior engineers and collaborating with

Qualifications

• 7+ years of experience in Software Engineering, AI Engineering, or Machine Learning Engineering.
• Hands-on experience designing and deploying enterprise-grade Generative AI solutions.
• Direct experience with Gemini Enterprise or comparable enterprise GenAI platforms.
• Strong expertise with Google Cloud Platform, including Vertex AI, BigQuery, Cloud Run, GKE, IAM, and cloud-native services.
• Advanced Python programming experience and proficiency with frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
• Strong understanding of Large Language Models, embeddings, vector databases, prompt engineering, fine-tuning, and RAG architectures.
• Experience deploying, monitoring, and supporting AI/ML solutions in production environments.
• Strong understanding of API development, microservices, and cloud-native application architecture.
• Excellent communication skills with the ability to work directly with customers and business stakeholders

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions for enterprise customers.
• Architect and implement solutions leveraging Gemini Enterprise, including AI agents, grounding, enterprise search, and Google Workspace integrations.
• Build and productionize scalable ML pipelines, APIs, and AI services using Python.
• Design and implement Retrieval-Augmented Generation (RAG) architectures, agentic workflows, and LLM-powered applications.
• Deploy, monitor, and optimize AI solutions across GCP services including Vertex AI, BigQuery, Cloud Run, GKE, IAM, and cloud-native services.
• Collaborate with customers and stakeholders to gather requirements and translate business needs into scalable AI solutions.
• Partner with Data Engineering, MLOps, and Platform teams to integrate AI capabilities into enterprise environments.
• Ensure solutions meet standards for security, scalability, reliability, performance, and cost optimization.
• Evaluate emerging GCP AI technologies and recommend adoption where appropriate.
• Mentor junior engineers and contribute to AI/ML engineering best practices

Skills

Software Engineering

AI Engineering

Machine Learning

Generative AI

Gemini Enterprise

Google Cloud Platform

Python

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

Vertex AI

BigQuery

Cloud Run

GKE

IAM

API development

Microservices

Communication

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

BigQuery

GKE

Cloud Run

Job description

Capgemini in Charlotte, NC, on-site, seeks an experienced AI Engineer to design, build, and scale enterprise-grade AI/ML solutions focusing on Generative AI and GCP. You will work with Gemini Enterprise, Vertex AI, and modern LLM architectures to deliver secure, production-ready applications and engage directly with customers.

The role requires deep technical expertise and the ability to translate business challenges into scalable AI solutions, mentoring junior engineers and collaborating with