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# B2/C1 - AI Platform Engineer 2

- **Company:** Capgemini
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $76,918.0 - $120,203.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Cloud Engineering, Information Engineering, Data Governance, Identity and Access Management, Python (Programming Language), Machine Learning, Networking Basics, Performance Tuning, Tensorflow, Gemini Enterprise (Agent Platform), Model Garden (Google Cloud), Google Cloud, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, AI Platforms, Scikit Learn, Kubernetes, Machine Learning Operations, Gsuite, Api Design, Google Gemini, Microservices
- **Published:** October 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=71e937de86f8de63

## About the Role

* 7+ years of experience in software/AI/ML engineering roles
 * Hands-on customer-facing experience with Gemini Enterprise (or equivalent enterprise GenAI platforms)
 * Strong expertise in Google Cloud Platform (GCP) - Vertex AI, BigQuery, Cloud Run/GKE, IAM, networking basics
 * Advanced proficiency in Python (ML libraries: TensorFlow, PyTorch, scikit-learn, LangChain/LangGraph, etc.)
 * Solid understanding of LLM fundamentals: prompt engineering, fine-tuning, embeddings, vector databases, RAG
 * Experience deploying and scaling ML models in production environments
 * Strong understanding of API design, microservices, and cloud-native architecture
 * Excellent communication skills - able to engage directly with enterprise customers and stakeholders, * GCP Professional certifications (Machine Learning Engineer, Cloud Architect, or Data Engineer)
 * Experience with MLOps tooling (Vertex AI Pipelines, Kubeflow, MLflow)
 * Experience with agentic AI frameworks and multi-agent orchestration
 * Background in enterprise sales engineering, solutions architecture, or pre-sales technical consulting
 * Familiarity with data governance, security, and compliance in AI/ML systems

## Description

GenAI Platforms
AI/ML engineering
ML Frameworks
bigquery
performance optimization
Python
MLOps tools
Google Cloud Platform (GCP)

We are seeking a AI Engineer to design, build, and scale AI/ML solutions with a focus on enterprise-grade generative AI deployments. This role requires hands-on experience delivering customer-facing AI solutions on Google Cloud Platform, including direct experience with Gemini Enterprise., * Design, develop, and deploy AI/ML solutions and generative AI applications for enterprise customers

 * Architect and implement solutions leveraging Gemini Enterprise (Gemini for Google Workspace / Gemini Enterprise AI agents, grounding, and search)
 * Build and productionize ML pipelines, APIs, and services using Python
 * Design and implement RAG (Retrieval-Augmented Generation) architectures, agentic workflows, and LLM-based applications
 * Deploy, monitor, and optimize models and services on GCP (Vertex AI, BigQuery, Cloud Run, GKE, Cloud Functions, Pub/Sub)
 * Collaborate with customers/stakeholders to gather requirements and translate business problems into scalable AI solutions
 * Ensure solutions meet enterprise standards for security, scalability, performance, and cost efficiency
 * Partner with data engineering, MLOps, and platform teams to integrate AI capabilities into existing systems
 * Stay current with evolving GCP AI/ML offerings (Vertex AI, Gemini models, Agent Builder, Model Garden) and recommend adoption where relevant
 * Mentor junior engineers and contribute to best practices for AI/ML development