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We have 5+ urgent openings for " AI Engineer with Databricks ". These are hybrid roles.
Location: Charlotte, NC
Duration: 12+ months
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.
ABOUT US:
Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java.
If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. xsgimln If you are interested and are available, please email me your resume and contact information to arshad AT . Thank you for your time.