Senior AI Engineer (Azure Databricks)

Job Title: Senior AI Engineer (Azure Databricks)

Location: Charlotte, NC
Work Mode: Hybrid (Onsite 2 days/week)
Employment Type: Contract / W2 / C2C (as applicable)

Job Summary

We are seeking a highly skilled Senior AI Engineer with strong expertise in Azure AI Services and Databricks to design, develop, and deploy enterprise-grade AI solutions. The ideal candidate will build intelligent conversational agents, integrate AI capabilities into web applications, and implement scalable MLOps pipelines. This role requires hands-on experience with LLMs, NLP, Python frameworks, and Azure AI ecosystem tools to deliver secure and high-performing AI solutions.

Key Responsibilities

Design, develop, and deploy AI-powered solutions using Azure AI Services and Databricks.

Build intelligent conversational AI agents and automation solutions for enterprise applications.

Develop, test, and deploy models using VS Code, Azure AI Studio, and Databricks.

Integrate AI services into applications using Python frameworks such as FastAPI, Django, and Flask.

Build secure REST APIs, async workers, and SDK-based integrations.

Collaborate with business and technical teams to gather requirements and design scalable AI solutions.

Monitor, evaluate, and optimize AI model performance for reliability and accuracy.

Develop reusable components, pipelines, and frameworks for rapid AI solution deployment.

Implement MLOps pipelines, including model versioning, deployment, and monitoring.

Ensure compliance with data security and privacy standards across AI implementations.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Strong hands-on experience with:

Azure AI Services (Azure OpenAI, Cognitive Services, Azure Bot Service, Copilot)

Azure Databricks and AI agent development

Python programming for AI application development

Experience with LLMs, NLP, and AI model lifecycle management.

Expertise in integrating AI with applications using REST APIs.

Experience with Python frameworks such as FastAPI, Django, or Flask.

Understanding of machine learning algorithms, model evaluation, and data processing techniques.

Experience designing and implementing MLOps pipelines.

Knowledge of GitHub, Azure DevOps, and CI/CD pipelines.

Strong communication and collaboration skills.

Preferred Qualifications

Microsoft Certified: Azure AI Engineer Associate

Databricks Generative AI Engineer Certification

Experience with Prompt Engineering and AI lifecycle management.

Familiarity with Copilot, GitHub Copilot, and AI-assisted development tools.

Knowledge of DevOps/MLOps best practices for AI deployment.

Experience working in Agile environments.