AI Data Engineer - Azure & AI Solutions

AI Engineer - Machine Learning

Who is Blueprint?

We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun.

What does Blueprint do?

Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.

Why Blueprint?

At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint.

• About the Role:

  We are seeking an experienced and forward-thinking AI Data Engineer to design and build data and AI solutions using the Microsoft Azure stack. In this role, you will be responsible for developing robust data pipelines, enabling machine learning workflows, and operationalizing AI models at scale. This is a critical position within our Data & AI Engineering team, with a focus on supporting real-world AI applications using cloud-native tools.

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  Key Responsibilities:

  • Design, build, and maintain end-to-end data pipelines for AI and ML workloads using:

    • Azure Data Factory

    • Azure Synapse Analytics

    • Azure Databricks

    • Azure Data Lake Storage

  • Integrate diverse data sources (structured, unstructured, streaming) into a unified data platform for ML model consumption

  • Operationalize AI/ML models using Azure Machine Learning, including model deployment, versioning, and monitoring

  • Support AI-driven use cases such as natural language processing (NLP), image classification, predictive analytics, and generative AI

  • Implement and manage MLOps pipelines using Azure DevOps, GitHub Actions, or MLflow

  • Collaborate with data scientists and product teams to optimize training datasets, improve feature engineering, and streamline model performance

  • Ensure data governance, privacy, and compliance standards are upheld throughout the AI data lifecycle

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  Required Skills & Qualifications:

  • 5+ years of experience in data engineering, software development, or applied AI

  • 3+ years of experience building data solutions in Microsoft Azure, including:

    • Azure Data Factory, Azure Synapse, Azure ML, Azure Databricks, and Azure Data Lake

  • Strong Python skills, with knowledge of key AI/ML libraries: pandas, scikit-learn, PyTorch, TensorFlow

  • Solid understanding of machine learning workflows, including feature engineering, training, evaluation, and deployment

  • Proficiency in SQL, data modeling, and performance optimization

  • Experience with MLOps practices and model deployment using Microsoft tools

  • Familiarity with AI-specific solutions such as:

    • Azure OpenAI Service

    • Cognitive Services (Vision, Language, Speech)

    • Responsible AI toolkits

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  Preferred Qualifications:

  • Microsoft certifications:

    • DP-203: Data Engineering on Azure

    • AI-102: Designing and Implementing an Azure AI Solution

  • Experience building or supporting solutions using:

    • LLMs, chatbots, AI search (e.g., Azure Cognitive Search), or vector databases

  • Familiarity with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, Bicep)

 Salary Range:

Pay ranges vary based on multiple factors including, without limitation, skill sets, education, responsibilities, experience, and geographical market. The pay range for this position reflects geographic based ranges for Washington state: $120,000 to $150,000 USD/annually. The salary/wage and job title for this opening will be based on the selected candidate’s qualifications and experience and may be outside this range.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.

If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com

Blueprint wants you to bring your biggest and best ideas to help positively impact our culture, clients, and the community around us. We also believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:

• Medical, dental, and vision coverage
• 401k program
• Competitive PTO offerings
• Parental Leave
• Contribute to one of our Employee Affinity Groups
• Opportunities for professional growth and development

Blueprint Technologies is an equal opportunity employer where employment is based on merit, qualifications, and professional competence.

Location: Hybrid