Principal Software Engineer (AI Platform & Full Stack Engineering) - Hybrid in MN

Primary Responsibilities

• Define scalable architecture and engineering patterns for AI-powered applications, APIs, and platform services
• Establish guardrails for open-source usage, AI models, and data governance
• Lead design decisions across frontend, backend, and cloud layers ensuring performance, scalability, and reliability
• Enable AI/ML capabilities into production applications
• Review and guide usage of AI models and datasets ensuring compliance with licensing, regulatory, and enterprise standards
• Enable responsible AI practices across application development
• Design and build end-to-end applications (UI, APIs, services, data layers)
• Develop scalable microservices, domain APIs, and distributed systems using modern frameworks
• Implement cloud-native and event-driven architectures
• Drive engineering excellence through CI/CD pipelines, containerization, and automation
• Build reusable platform components, services, and developer tooling to improve scalability and speed
• Ensure system reliability including observability, performance tuning, and resiliency
• Leverage AI-assisted development tools (coding agents, LLMs) to improve engineering productivity
• Build intelligent tooling and workflows to streamline development and governance processes
• Provide technical leadership, code reviews, and design guidance across teams
• Collaborate with product, architecture, and data science teams to deliver integrated solutions
• Drive adoption of best practices, reusable patterns, and modern engineering standards

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field
• 10+ years of experience in software engineering with solid full stack development expertise
• 6+ years of experience designing microservices and distributed systems
• 5+ years of experience with CI/CD, containerization (Docker), and DevOps practices
• Solid experience with Java, Python, Node.js, and modern frontend frameworks (React/Angular, TypeScript, REST, GraphQL)
• Experience building AI-enabled applications and platform services
• Experience integrating AI/ML or Generative AI capabilities (e.g., APIs, embeddings, decisioning features)
• Experience delivering complex, multi-team engineering initiatives
• Experience using AI-assisted development tools to accelerate delivery

Preferred Qualifications

• Experience with AI/ML platforms, LLM-based applications, or agentic systems
• Proven knowledge of responsible AI, model lifecycle, and governance frameworks
• Experience in regulated industries (healthcare, financial services, etc.)

Pay

The salary for this role will range from $134,600 to $230,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.