Design, build, and maintain robust AI/ML solutions to ensure reliable decision-making across the enterprise.
Sustain AI enterprise offerings by orchestrating workflows and monitoring the overall health of AI solutions to ensure continuous availability and performance.
Create, update, and optimize AI models, datasets, and transformations to align with business needs.
Troubleshoot and resolve issues, ensuring consistent and correct data flow from source systems.
Collaborate with cross-functional teams to uphold security standards and ensure accurate data is available for use.
Utilize AI/ML frameworks (e.g., PyTorch, TensorFlow) to establish data connections to source applications, by extracting and loading data that meets functional and technical specifications.
Utilize software frameworks such (e.g., Semantic Kernel, Prompt Flow, LangChain) to integrate LLM’s into applications.
Develop and manage AI model cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
Build visualizations using AI tools and assist business users with testing, troubleshooting, and documentation creation, including AI service maintenance guides.

Bachelor’s Degree and minimum 2 years of prior relevant experience
Graduate Degree and a minimum of 0 to 2 years of prior related experience
In lieu of a degree, minimum of 6 years of prior related experience.
Proficiency in Python, JavaScript, TypeScript, C#, or other scripting languages for AI/ML processing and automation.
Experience with Microsoft tools such as Azure Data Factory (ADF), AI Search, and Document Intelligence.
Knowledgeable in API integration and development.
Experience with Agile principles and development processes.
Certified Microsoft Azure AI Engineer.
Excellent interpersonal and effective communication skills.
Passionate about continuous learning and enjoy working in a fast paced, dynamic team environment.

Senior Associate, Artificial Intelligence Engineer

Key skills