Hiring: Senior AI Engineer Company: Hollstadt Consulting Location: Minnesota, United States Job Posted Time: 2026-09-16 19:37:44 Employment Type: Remote Target Skills & Keywords : AI, AWS, Azure, CI/CD, Cloud Native, Deep Learning, ECS, GCP, HBase, IAM, Lambda, Machine Learning, PyTorch, Python, S3, SQL, SaaS, SageMaker, TensorFlow, scikit-learn About the job Qualifications: •Knowledge of: •Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies. •Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development. •Responsible AI principles, including bias mitigation and ethical deployment. •ML Ops best practices including CI/CD for ML, model monitoring, and versioning. •Proficient in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn). •Strong understanding of data engineering, SQL, and feature engineering. •Direct experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM. Compensation: •: $125,000 - $165,000, plus 8% AIP eligibility •POSITION SUMMARY: •The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization. This position will focus on designing, developing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions. As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes. •ACCOUNTABILITIES: •Engineering: •Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases. •Design, build and operationalize Gen AI (such as Retrieval Augmented Generation) and emerging Agentic AI solutions to address domain specific needs, improve user experiences and automate business workflows. •Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent). •Integrate cloud-native and third-party AI SaaS solutions to accelerate delivery and reduce time to value. •Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective within cloud environments. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!