Director, Software Engineering - AI Platform and Full Stack Engineering - Office-based in Minneapolis, MN
$134,600 - $230,800/year
Apply (opens in a new tab)Director, Software Engineering - AI Platform and Full Stack Engineering - Office-based in Minneapolis, MN
Posted 4 days ago
SENIORITY
Manager
SALARY
$134,600 - $230,800/year
About the role
- Engineering Leadership & Organization Management
- Build, lead, and scale high-performing engineering teams across full stack and AI platform development
- Drive hiring, coaching, and performance management to develop solid engineering talent aligned to AI-first capabilities
- Establish clear ownership, accountability, and delivery governance across teams
- Technology & Architecture Leadership
- Define and govern architecture for AI-driven applications, full stack platforms, APIs, and microservices ecosystems
- Establish enterprise guardrails for open-source usage, AI models, and data governance
- Partner with product and architecture leaders to align technical strategy with business outcomes
- Delivery & Execution Accountability
- Own end-to-end delivery of engineering roadmaps with a focus on quality, speed, and reliability
- Manage cross-team dependencies and ensure alignment across engineering, data science, and platform teams
- Track execution, manage risks, and proactively address capacity and delivery gapsAI/ML Governance & Compliance
- Ensure governance and oversight of AI models, training data, and externally exposed capabilities
- Drive adoption of compliance-as-code practices embedded into CI/CD and SDLC workflows
- Platform Engineering & Full Stack Enablement
- Oversee development of end-to-end full stack solutions (UI, APIs, services, and data layers)
- Enable scalable platforms supporting AI-driven use cases, analytics, and decision intelligence
- Engineering Productivity & Innovation
- Champion adoption of AI-assisted development tools (LLMs, coding agents) to accelerate engineering productivity
- Drive engineering excellence through automation, reusable patterns, and modern development practices
- Stakeholder Engagement & Influence
- Partner with business, product, and executive stakeholders to translate strategy into execution
- Communicate progress, risks, and outcomes to senior leadership
- Influence enterprise decisions on engineering standards and AI adoption
- Experience with AI/ML platforms, LLM-based applications, or agentic systems
- Experience building enterprise-scale platforms for analytics, optimization, or decision intelligence
- Experience in regulated industries (healthcare, financial services, etc.)Knowledge of responsible AI, model lifecycle management, and governance frameworks
- Deep expertise in microservices architecture and distributed systems
- Track record of delivering multi-quarter, cross-team engineering programs
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
