indiana staffing
Senior Artificial Intelligence (AI) Engineer
indiana staffing, Indianapolis, Indiana, us, 46262
AI Engineer
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 and 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 and 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 hybrid search architectures Excellent problem-solving skills and ability to translate high-level ML goals into production-ready systems Familiarity with containerization (Docker) and deployment tools (Azure Container Apps, etc.) Understanding of responsible AI principles and governance frameworks Knowledge of Azure DevOps practices and model lifecycle management Consulting Skills: Proven track record of leading enterprise-scale digital transformation projects Experience managing client relationships and stakeholder communications Strong presentation and workshop facilitation skills Ability to translate complex technical concepts into business value propositions Project management experience with Agile and traditional methodologies Preferred Skills
Microsoft certifications: Azure Data Engineer Associate, Azure AI Engineer Associate, or Microsoft 365 Certified: Enterprise Administrator Expert Experience implementing and customizing Microsoft Copilot solutions (Microsoft 365 Copilot, Copilot for Power Platform, Copilot in Fabric) Knowledge of data mesh governance, cross-workspace data sharing, and advanced data modeling techniques Knowledge of industry-specific data models (healthcare, financial services, retail) Experience with comparable cloud data platforms, such as Snowflake or Databricks Advanced degree in Computer Science, Data Science, or related field Previous experience at a major consulting firm or Microsoft partner
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 and 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 and 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 hybrid search architectures Excellent problem-solving skills and ability to translate high-level ML goals into production-ready systems Familiarity with containerization (Docker) and deployment tools (Azure Container Apps, etc.) Understanding of responsible AI principles and governance frameworks Knowledge of Azure DevOps practices and model lifecycle management Consulting Skills: Proven track record of leading enterprise-scale digital transformation projects Experience managing client relationships and stakeholder communications Strong presentation and workshop facilitation skills Ability to translate complex technical concepts into business value propositions Project management experience with Agile and traditional methodologies Preferred Skills
Microsoft certifications: Azure Data Engineer Associate, Azure AI Engineer Associate, or Microsoft 365 Certified: Enterprise Administrator Expert Experience implementing and customizing Microsoft Copilot solutions (Microsoft 365 Copilot, Copilot for Power Platform, Copilot in Fabric) Knowledge of data mesh governance, cross-workspace data sharing, and advanced data modeling techniques Knowledge of industry-specific data models (healthcare, financial services, retail) Experience with comparable cloud data platforms, such as Snowflake or Databricks Advanced degree in Computer Science, Data Science, or related field Previous experience at a major consulting firm or Microsoft partner