AI Engineer

• Lead, mentor, and develop a team of AI engineers and technical specialists
• Foster innovation, technical excellence, collaboration, and continuous learning
• Manage performance, career development, coaching, and succession planning
• Support recruiting, onboarding, and workforce planning
• Oversee planning, execution, and delivery of AI development activities
• Manage work progress, risks, issues, dependencies, and delivery commitments
• Remove barriers across multiple concurrent initiatives
• Ensure AI solutions are delivered on time and meet quality, reliability, and security expectations
• Provide technical guidance for AI and machine learning solution design and implementation
• Promote engineering standards, reusable components, testing, documentation, and development frameworks
• Support adoption of AI engineering, MLOps, automation, and DevSecOps practices
• Evaluate emerging AI technologies for enterprise applicability
• Collaborate with business and technology stakeholders to define technical approaches
• Partner with AI Delivery teams to align development with implementation priorities and adoption needs
• Communicate progress, risks, and outcomes to leadership and stakeholders
• Foster relationships with vendors and technology partners
• Drive continuous improvement of development processes, tools, and engineering practices
• Support SDLC and model lifecycle management, monitoring, reporting, supportability, and operational readiness
• Ensure compliance with enterprise security, governance, and responsible AI standards

Explore Senior Manager, AI Engineering at TruStage. Review requirements and application details.