Principal Architect, AI Solutions

Description:

AI Archiect

Requirements:

Bachelors or masters 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 Preferred Qualifications Experience working in a large enterprise, platform-oriented environment Experience with AI governance, responsible AI, model risk, privacy, and security controls Familiarity with cloud AI platforms and services, vector search, AI gateways, observability, and production AI operations Experience helping engineering organizations adopt AI-powered development tools and practices Experience defining reusable architecture patterns for shared enterprise AI capabilities Experience mentoring architects or leading architecture communities of practice Masters degree in Computer Science, Engineering, Data Science, or related field

Job Responsibilities:

Key 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