Moser Consulting is seeking an AI Engineer to lead the adoption and implementation of AI solutions, helping organizations transform their data and analytics capabilities by leveraging cutting-edge artificial intelligence technologies.
Requirements
- 7+ years of data engineering experience with a focus on cloud-native data architectures.
- Expert-level knowledge of Azure cloud services, particularly data and AI services
- Strong proficiency in Python for data processing, model inference, and API development
- Robust understanding of data modeling, ETL/ELT processes, and data warehouse design principles
- Experience with CI/CD pipelines and DevOps practices for data and AI solutions
- Hands-on experience with Azure OpenAI Service, including GPT models and prompt engineering
- Prompt engineering and integration with LLM APIs (e.g., OpenAI, Minstrel, LLaMA)
Responsibilities
- Design and deploy AI models using Azure AI Foundry and Azure OpenAI Service
- Implement Microsoft Copilot solutions across the Microsoft ecosystem
- Ability to build end-to-end data pipelines that support feature extraction, training, and inference
- Hands-on experience integrating with structured/unstructured data sources, APIs, databases, and cloud object storage
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and services for compute, storage, and model hosting
- Experience with the design and implementation of medallion architecture (bronze, silver, gold) data lake patterns
- Lead AI strategy development and implementation roadmaps for enterprise clients
Other
- Please submit your resume along with a cover letter highlighting your most relevant AI project experience.
- Include specific examples of client impact and technical challenges you've solved.
- We are looking for candidates who can demonstrate both technical depth and business acumen.
- Proven track record of leading enterprise-scale digital transformation projects
- Experience managing client relationships and stakeholder communications
