GenAI Platform Engineer — Enterprise ML on GCP (On-Site)

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

Job summary

Tundra Technical Solutions in Charlotte, NC is seeking an AI Engineer to design, build, and scale enterprise-grade AI/ML solutions with a focus on generative AI deployments on Google Cloud Platform. The role requires hands-on delivery of customer-facing AI solutions and direct Gemini Enterprise experience.

Responsibilities include building pipelines and services in Python, deploying on Vertex AI and BigQuery, and implementing RAG architectures.

Qualifications

• 7+ years of software/AI/ML engineering experience.
• Hands-on customer-facing experience with Gemini Enterprise (or equivalent enterprise GenAI platform).
• Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of LLM fundamentals: prompt engineering, embeddings, vector databases, RAG.
• Experience deploying and scaling ML models in production on GCP.

Responsibilities

• Design, develop, and deploy AI/ML solutions and generative AI applications for enterprise customers.
• Architect and implement solutions leveraging Gemini Enterprise.
• Build and productionize ML pipelines, APIs, and services using Python.
• Design and implement RAG 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 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 and recommend adoption where relevant.
• Mentor junior engineers and contribute to best practices for AI/ML development.

Skills

Gemini Enterprise

Python

LLM fundamentals

API design

Tools

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

Vertex AI

BigQuery

Kubeflow

MLflow

Job description

Tundra Technical Solutions in Charlotte, NC is seeking an AI Engineer to design, build, and scale enterprise-grade AI/ML solutions with a focus on generative AI deployments on Google Cloud Platform. The role requires hands-on delivery of customer-facing AI solutions and direct Gemini Enterprise experience.

Responsibilities include building pipelines and services in Python, deploying on Vertex AI and BigQuery, and implementing RAG architectures.