Senior AI Engineer

Virtue America; North Carolina; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Virtue America is seeking a highly experienced Senior AI Engineer to lead the design, development, and deployment of scalable AI solutions on Google Cloud Platform. You will work with Python, NLP, Generative AI, LLMs, RAG, and Agentic AI to deliver production-ready capabilities. This hybrid role covers Charlotte, NC and St.

Louis, MO, with a long-term engagement. You will implement MLOps, architect cloud-native AI systems, and collaborate with cross-functional teams to drive AI strategy while

Qualifications

• Bachelor's degree or equivalent qualification in Computer Science, Information Technology, or a related field.
• 12+ years of experience in IT, AI/ML engineering, or related technical fields.
• Strong hands‑on experience with Google Cloud Platform (GCP) and Python.
• Expertise in AI/ML, NLP, Generative AI, LLMs, RAG, and Agentic AI.

Responsibilities

• Design, develop, and deploy AI/ML solutions using Python and GCP.
• Build and optimize Generative AI applications using LLMs, RAG architectures, and Agentic AI frameworks.
• Develop NLP pipelines and intelligent enterprise AI applications.
• Implement LLMOps/MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
• Design scalable AI architectures using cloud-native services, APIs, and microservices.
• Integrate AI solutions with enterprise data platforms and business applications.
• Ensure security, scalability, performance, and governance across AI solutions.
• Collaborate with cross-functional teams to define AI strategies and deliver production-ready solutions.

Skills

Python

Google Cloud Platform (GCP)

AI/ML engineering

NLP

Generative AI

LLMs

RAG

Agentic AI

MLOps

Enterprise architecture

Production deployment

Education

Bachelor's degree in Computer Science / Information Technology / related field

Tools

BigQuery

GKE

Terraform

CI/CD pipelines

Vector databases

Job description

Location: Charlotte, NC / St. Louis, MO (Hybrid)

Duration: Long-Term

Job Description:

We are seeking a highly experienced Senior AI Engineer with strong expertise in Google Cloud Platform (GCP), AI/ML engineering, and enterprise architecture. The ideal candidate will have hands‑on experience developing and deploying scalable AI solutions using Python, NLP, Generative AI, LLMs, RAG, and Agentic AI.

Key Responsibilities:

• Design, develop, and deploy AI/ML solutions using Python and GCP services.
• Build and optimize Generative AI applications using LLMs, RAG architectures, and Agentic AI frameworks.
• Develop NLP pipelines and intelligent enterprise AI applications.
• Implement LLMOps/MLOps practices for model deployment, monitoring, evaluation, and lifecycle management.
• Design scalable AI architectures using cloud-native services, APIs, and microservices.
• Integrate AI solutions with enterprise data platforms and business applications.
• Ensure security, scalability, performance, and governance across AI solutions.
• Collaborate with cross-functional teams to define AI strategies and deliver production-ready solutions.

Required Qualifications:

• Bachelor's degree or equivalent qualification in Computer Science, Information Technology, or a related field.
• 12+ years of experience in IT, AI/ML engineering, or related technical fields.
• Strong hands‑on experience with Google Cloud Platform (GCP) and Python.
• Expertise in AI/ML, NLP, Generative AI, LLMs, RAG, and Agentic AI.
• Experience with enterprise AI architecture and production deployment.
• Strong understanding of LLMOps/MLOps, model evaluation, and monitoring.

Good to Have:

• Google BigQuery and Google Kubernetes Engine (GKE).
• Vector search, embeddings, and vector databases.
• Data engineering and distributed data processing.
• Microservices and REST APIs.
• IAM, cloud security, and governance.
• Terraform, CI/CD pipelines, and infrastructure automation.