AI Engineer with Databricks
Location: Charlotte, NC
Position Type: Contract
Job Summary
• We are seeing a highly skilled senior AI Engineer to join our innovative team.
• The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks.
• You will integrate AI powered solutions across multiple channels like Web applications, etc.
Key Responsibilities:
• Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
• Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
• Build and manage AI agents for automation and advanced conversational experiences.
• Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
• Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
• Monitor and optimize AI model performance, ensuring reliability and accuracy.
• Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
• Ensure adherence to data privacy and security standards within all AI implementations.
Technical skills and qualifications:
• BS or MS in Computer Science, Engineering, or related fields
• Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)
• Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.
• Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.
• Strong understanding of NLPs, LLMs and RESTful API integration.
• Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI
• Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques
• Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.
• Experience integrating AI with applications using Python frameworks( FastAPI, Django, Flask ), task queues, and observability.
• Intermediate programming skills in Python with a focus on developing secure and scalable AI solutions.
Preferred qualifications:
• Microsoft Certified: Azure AI Engineer Associate or equivalent
• Databricks Certified: Generative AI Engineer Associate or equivalent
• Experience with Prompt engineering and AI lifecycle management.
• Knowledge of DevOps/MLOps practices for AI model deployment on Azure.
• Familiarity with agile methodologies and CI/CD pipelines in Azure DevOps and GitHub.