About Moser

For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.

Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.

Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.

Description

We are seeking a skilled AI Engineer to join our data engineering team and help lead the adoption and implementation of AI solutions. This role is ideal for someone who thrives in a fast-paced environment, understands modern data stack architectures, and enjoys building scalable, cloud-first AI data solutions.

This role combines deep technical expertise with strategic consulting skills to help organizations transform their data and analytics capabilities while leveraging cutting-edge artificial intelligence technologies.

Role Responsibilities

Technical Implementation

• 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

Innovation & Thought Leadership

• Lead AI strategy development and implementation roadmaps for enterprise clients
• Develop accelerators, templates, and best practice frameworks
• Contribute to proposal development and pre-sales technical discussions
• Create intellectual property including white papers and case studies

Client Engagement & Delivery

• Lead discovery sessions to understand client requirements and current state architecture
• Conduct knowledge transfer sessions and create comprehensive documentation
• Provide ongoing support and optimization recommendations post-implementation

Requirements

Technical Expertise

• 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
• Background with configuring incremental refresh and partitioning strategies to optimize compute unit (CU) consumption and query performance.
• Familiarity with implementing and managing RBAC (Role-Based Access Control) with a zero-trust security approach, ensuring appropriate access to data and services across cross-workspace environments.
• 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.

AI and Advanced Analytics

• 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)
• Knowledge of RAG (retrieval augmented generation) pipelines or