Principal Architect, AI Solutions

Responsibilities

• Lead architecture for strategic AI initiatives across products, platforms, and shared enterprise capabilities
• Partner with business units, product leaders, and engineering teams to shape scalable, secure, and practical AI solution architectures
• Define and evolve architecture standards, reference patterns, and guardrails for AI solutions and AI-enabled software development
• Evaluate emerging AI technologies, platforms, and patterns, and guide the organization on where and how to adopt them
• Provide architectural leadership for capabilities, agentic workflows, AI orchestration, evaluations, AI observability, and AI governance
• Ensure AI solutions align with enterprise requirements for security, privacy, compliance, resiliency, observability, and maintainability
• Help engineering teams leverage AI-powered PDLC capabilities across coding, testing, documentation, analysis, and delivery workflows
• Guide architecture decisions across application, data, integration, platform, and operational concerns to avoid fragmented or duplicative solutions
• Mentor technical leads and senior engineers and contribute to raising the technical bar across the organization
• Participate in architecture reviews, technical strategy discussions, and investment decisions related to AI and platform modernization

Requirements

• Bachelor’s or master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 12+ years of experience in software engineering, architecture, or technology leadership roles
• Significant experience designing and guiding enterprise-grade AI solutions in production environments
• Deep knowledge of modern AI architecture patterns, including LLM-based applications, retrieval systems, agentic workflows, prompt and tool orchestration, and evaluation approaches
• Strong architecture background across distributed systems, APIs, integration, data platforms, security, and cloud-native solutions
• Experience establishing architecture standards, reference architectures, and technical guardrails across multiple teams
• Proven ability to influence senior technical and business stakeholders without direct authority
• Strong written and verbal communication skills, with the ability to tailor communication from engineering teams to executive leadership
• Demonstrated ability to balance innovation, speed, risk management, and long-term maintainability

Core Competencies

Expertise in leading AI architecture initiatives, establishing standards, and guiding enterprise-grade AI solutions while ensuring alignment with security, compliance, and maintainability requirements. Proven ability to mentor technical teams and influence stakeholders across various levels of the organization.