Principal AI Engineer

• Act as a trusted advisor to leadership, guiding the development and influence of applications, networks, information security, databases, operating systems, web technologies, and emerging AI capabilities to address highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex, unique challenges through end‑to‑end solution design, including Generative and Agentic AI systems, cloud‑native platforms, and legacy modernization efforts that require long‑term vision, creativity, innovation, and advanced analytical thinking
• Translate advanced technology expertise, deep understanding of enterprise business objectives, organizational structure, and the broader technology ecosystem into scalable engineering solutions, such as reusable architectures, AI-enabled platforms, and production‑ready systems
• Provide vision, direction, and technical leadership to senior leaders on implementing innovative business solutions, embedding AI and automation into product delivery workflows, decision support, and developer productivity while ensuring alignment with security, compliance, and responsible AI standards
• Maintain deep awareness of industry best practices, emerging technologies, and AI advancements, proactively recommending innovations that modernize operations, improve efficiency and quality, and create competitive advantage for the organization
• Strategically engage with professionals and managers at all levels of the enterprise, serving as an expert technical advisor and escalation point for complex platform, data, and AI decisions while mobilizing and guiding large‑scale, cross‑organizational initiatives and communicating progress to executive leadership

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 7+ years of senior engineering experience, including architecture and hands‑on delivery of large‑scale platforms and systems
• 4+ years of experience developing or deploying AI‑powered tools, chatbots, LLM‑based automation, or agentic workflows, including understanding of AI risks, observability needs, and stakeholder communication
• 3+ years of hands‑on experience across Cloud architectures including Google Cloud Platform, Microsoft Azure, AWS, etc. and internal platforms such as Tachyon
• 3+ years of experience operating at both keyboard‑level technical depth and executive‑level technical storytelling

Demonstrates expertise in engineering leadership, focusing on the design and implementation of AI-enabled platforms and cloud-native solutions. Capable of translating complex technical concepts into scalable architectures while ensuring alignment with security and compliance standards.

• AI-Powered Tools Development
• Cloud Architecture Experience
• Large-Scale Platform Delivery
• Technical Leadership
• Executive-Level Technical Storytelling

• Engineering Experience
• Architecture Design
• AI Risks Understanding
• Observability Needs
• Generative AI Systems
• Agentic AI Systems
• Reusable Architectures
• Production-Ready Systems
• Legacy Modernization
• Automation Workflows

• Strategic Engagement
• Communication Skills
• Analytical Thinking
• Creativity
• Innovation

• Information Security
• Web Technologies
• Enterprise Business Objectives
• Cross-Organizational Initiatives
• Best Practices
• Emerging Technologies
• AI Advancements
• Decision Support

• Google Cloud Platform
• Microsoft Azure
• AWS
• Tachyon