CHTR - B2/C1 - AI Platform Engineer 2

Capgemini; Charlotte (NC); On-site; USD 41,000 - 65,000; Full time

Job summary

Tundra Technical Solutions is seeking an AI Engineer to design, build, and scale AI/ML solutions for enterprise customers in Charlotte, NC. This on-site role focuses on generative AI deployments on Google Cloud Platform, including Gemini Enterprise.

You will develop production-grade ML pipelines, implement RAG architectures, and collaborate with data, MLOps, and platform teams to deliver secure and scalable solutions. 7+ years of experience and strong Python/GCP skills are required.

Qualifications

• 7+ years of experience in software/AI/ML engineering roles.
• Hands-on customer-facing experience with Gemini Enterprise.
• Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of LLM fundamentals and prompt techniques.
• Experience deploying ML models in production and API design.

Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise customers.
• Architect solutions using Gemini Enterprise and related AI agents.
• Build ML pipelines, APIs, and services in Python.
• Implement RAG architectures and agentic workflows.
• Deploy, monitor, and optimize models on GCP.
• Collaborate with customers to translate business problems into scalable AI solutions.
• Ensure security, scalability, and cost efficiency.
• Mentor junior engineers and share AI development best practices.

Skills

Python

TensorFlow

PyTorch

scikit-learn

LangChain

LangGraph

LLM concepts

API design

Cloud

Tools

Gemini Enterprise

Google Cloud Platform

Vertex AI

BigQuery

Cloud Run

GKE

Cloud Functions

Pub/Sub

Job description

Charlotte, NC, United States (On-site)

Contract (4 months 30 days)

Published 2 days ago

AI/ML Frameworks

Security & Governance

mlops

rest apis

python programming

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.

Key Responsibilities:

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

Required Qualifications:

7+ years of experience in software/AI/ML engineering roles

Hands‑on customer‑facing experience with Gemini Enterprise (or equivalent enterprise GenAI platforms)

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

Preferred Qualifications:

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

The pay range that the employer in good faith reasonably expects to pay for this position is $30.05/hour - $46.95/hour. Our benefits include medical, dental, vision and retirement benefits.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.