AI Engineer

• Own end-to-end technical architecture and delivery of a core software platform, from prototype through production and long-term enhancement
• Build production LLM and agentic applications, including retrieval over project and construction data, agent and tool orchestration, evaluation harnesses, context engineering, and human-in-the-loop review paths
• Integrate AI solutions with enterprise systems of record, including Procore, Salesforce, Bluebeam, ERP and finance systems, and Microsoft Fabric
• Establish engineering standards across the AI team, including repository structure, testing and model evaluation, release process, observability, consumption and cost monitoring, and security review
• Serve as senior technical owner of Blattner’s core AI platform and remain accountable for adoption and operating costs
• Partner closely with a Senior AI Product Manager
• Provide technical direction to AI Engineers, Data Engineers, and Full Stack Application Developers

Lead AI Engineer

• Lead the technical architecture and strategy for AI-powered projects
• Design scalable, production-grade systems that handle real-world complexity
• Make critical decisions about tooling, frameworks, and architectural patterns
• Own the quality and reliability of systems in production
• Mentor and develop other engineers
• Drive technical discussions and shape team standards
• Keep up with emerging tools and techniques
• Build observability and evaluation frameworks
• Partner with product and client teams to translate business needs into technical solutions
• Contribute to longer-term technical vision and innovation
• Establish technical standards and best practices for AI engineering across the team
• Lead the design of complex, large-scale AI systems
• Ship high-impact AI projects
• Build a culture of technical excellence and continuous learning
• Help the company scale AI capabilities as it grows

Senior AI Engineer

• Design, build, test, and optimize AI agents and conversational AI experiences using Microsoft Copilot Studio
• Support AI agent workflows and troubleshoot solutions to improve effectiveness and user experience
• Connect AI solutions to enterprise data sources including SharePoint, Microsoft Lists, Teams, Power BI, and Azure-based repositories
• Support data preparation, transformation, and validation
• Support Retrieval Augmented Generation (RAG) solutions leveraging internal business content and enterprise data
• Develop automated workflows using Microsoft Power Automate and related technologies
• Identify scalable, repeatable solutions that improve productivity and reduce administrative burden
• Develop dashboards and reporting to measure solution adoption, user feedback, and business impact
• Support business cases and recommendations for broader deployment of successful AI solutions
• Document solution architecture, workflows, and deployment processes
• Create user guides, training materials, and enablement content
• Support governance, compliance, and operational readiness activities for AI solutions

Intern – AI Engineer, Enterprise AI & Workflow Automation

• Collaborate with AI platform, product, and engineering teams to evaluate AI system security throughout the lifecycle
• Define and evaluate security assessment methodologies, testing frameworks, and assurance standards for AI technologies
• Develop and execute security validation strategies, including threat modeling, attack simulation, and adversarial testing
• Conduct technical reviews of AI products, platforms, and architectures
• Validate secure deployment patterns for AI workloads across cloud and hybrid environments
• Assess AI architectures, models, agents, and supporting infrastructure for security risks and vulnerabilities
• Evaluate security controls, guardrails, and mitigations protecting AI applications and platforms
• Perform hands-on security analysis and testing of complex AI-enabled systems
• Recommend risk mitigation strategies and prioritized remediation plans
• Provide guidance on model security, prompt injection defenses, agent security, supply chain security, and data protection
• Prioritize security improvements that reduce risk while enabling innovation and business objectives
• Identify emerging AI-specific threats, attack techniques, and vulnerabilities
• Communicate security risks and potential business impact to stakeholders
• Collaborate with security, architecture, and engineering teams to improve AI security controls and governance
• Serve as a trusted advisor on AI security across the enterprise

Lead Engineer – AI Security

• Define and maintain enterprise data architecture, metadata management, and governance standards and frameworks
• Build metadata-driven data lineage frameworks to improve enterprise transparency and data quality
• Design and translate enterprise business and data requirements for a central analytics platform
• Own end-to-end enterprise data architecture, frameworks, and models, including data warehouses, pipelines, and enterprise-system integrations
• Evaluate, design, and implement AI solutions, including large language solutions, business process automation, production AI solutions, and document intelligence platforms
• Lead the enterprise AI automation program from opportunity identification through design, deployment, and production support
• Design AI-driven automation for complex business processes and manage prompt design, tuning, and evaluation
• Optimize enterprise data and information flows while balancing accessibility, security, and governance
• Architect API-driven integrations across enterprise platforms such as SAP Ariba, HighRadius, and Microsoft Graph
• Provide technical leadership, direction, and mentoring on complex architecture initiatives
• Advise on data and AI strategy and technical roadmaps
• Mentor engineering teams on CI/CD, data security, code quality, and architectural best practices
• Comply with company and department policies and perform other duties as assigned

AI Engineer jobs in Minnesota

Lead AI Engineer

Senior AI Engineer

Intern – AI Engineer, Enterprise AI & Workflow Automation

Lead Engineer – AI Security

Enterprise Data – AI Architect