Solution Enterprise Architect - Database L2

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

Solution Enterprise Architect - Database L2 (Contract)

Charlotte, NC, United States (On-site)

Contract (1 month 23 days)

Published 22 hours ago

gemini

LangGraph

RAG

GCP

Agentic AI

llm

LangChain

Role Summary

We are seeking an experienced AI Engineer to design, build, and scale enterprise-grade AI/ML solutions with a focus on Generative AI and Google Cloud Platform (GCP). This role will be responsible for developing customer-facing AI applications, leveraging Gemini Enterprise, Vertex AI, and modern LLM architectures to deliver scalable, secure, and production-ready solutions. The ideal candidate combines deep technical expertise with the ability to engage directly with customers and stakeholders to solve complex business challenges through AI.

Key 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, Cloud Functions, and Pub/Sub


• 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

Required 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

The pay range that the employer in good faith reasonably expects to pay for this position is $36.98/hour - $57.79/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

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.