Principal Solution Architect, Artificial Intelligence

Principal Solution Architect, Artificial Intelligence Job Function Information Technology Position Type Experienced Professionals Requisition ID 2025-18751 Posting Location : Location US-GA-Atlanta Overview The Artificial Intelligence Principal Solutions Architect will be a key technical leader within our newly formed Capability Development team, focusing on designing and architecting innovative capabilities for business applications that leverage artificial intelligence, intelligent automation, data platforms, analytics and any other technologies which comprise the Embedded Intelligence technology stack. This position requires a versatile technical professional who can develop architectural frameworks, evaluate emerging technologies, and create scalable proof-of-concepts and design practical solutions to enable embedded intelligence in business solutions. The role involves collaborating with business stakeholders to translate needs into comprehensive technical solutions while ensuring alignment with enterprise standards and integration with existing systems. This role offers a unique opportunity for technologists who enjoy defining the architectural vision for cutting-edge AI capabilities. You'll have the freedom to explore diverse technologies and approaches while building the foundational frameworks that will power intelligent automation across the organization. The role combines architectural leadership with hands-on technical guidance, allowing you to shape how emerging technologies are deployed throughout the organization. For candidates who thrive on designing innovative systems and translating complex technologies into practical business applications, this role provides exceptional growth potential and the satisfaction of seeing your architectural vision drive organizational transformation. Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Responsibilities Design and architect core AI capability frameworks including AI Ops, Model Context Protocol (MCP), Agent2Agent Protocol (A2A), Agent Registry, RAG (Retrieval-Augmented Generation) systems, and intelligent search capabilities Evaluate and recommend AI/ML technologies including large language models, computer vision tools, and intelligent automation platforms Create architectural blueprints that ensure scalability, maintainability, security, and integration with existing enterprise systems Design permissioning and security frameworks for AI applications, including OAuth/Okta integration and row-level security (RLS) implementations Create cloud-native, containerized solutions using Kubernetes, CI/CD pipelines, and modern DevOps practices to enable rapid prototyping and scalable deployment Collaborate with business units to understand needs and translate them into technical requirements and capability specifications Work with the R&D leader to align solutions with the broader embedded intelligence ecosystem and technology strategy Partner with Technical Delivery teams to facilitate transition of successful prototypes and frameworks to production environments Document architectural approaches, patterns, and implementation guidelines using tools like C4 diagrams or other architectural modeling techniques Stay current with emerging AI/ML trends including advances in generative AI, computer vision, intelligent automation, and AI-assisted development tools Provide technical mentorship and architectural guidance across the organization Ensure solutions follow appropriate governance standards and best practices for AI ethics and responsible deployment Minimum Qualifications Bachelor's degree or equivalent experience 6+ years of experience in software engineering, solution architecture, or related technical roles with focus on AI/ML systems Strong programming skills in multiple languages (e.g., Python, Go, TypeScript/JavaScript) Hands-on experience with DevOps practices including Kubernetes, CI/CD pipelines, containerization, and orchestration technologies Experience with cloud platforms (AWS, Azure, GCP) and cloud-native infrastructure patterns Experience with AI-assisted development tools and modern development workflows Understanding of software architecture principles, microservices, and API design patterns Significant experience in complex software engineering design and delivery at scale Strong analytical and problem-solving skills with ability to architect complex AI systems Clear communication skills with ability to explain complex AI/ML concepts to diverse audiences Self-directed with ability to work with minimal supervision in R&D environment Collaborative approach with strong teamwork orientation and mentoring capabilities Comfort with ambiguity and rapidly changing AI technology landscape Intellectual curiosity and passion for emerging AI/ML technologies and development tools Ability to balance technical exploration with practical implementation and enterprise integration Experience evaluating technology vendors and open-source solutions Excellent written and verbal communication skills, including technical documentation and team facilitation Ability to prioritize multiple competing R&D demands and capability development initiatives Demonstrated learning agility for rapidly evolving AI/ML technologies and practices Proven ability to positively influence engineering culture around AI development practices Preferred Qualifications Bachelor's degree Experience with architectural diagramming tools (C4 modeling preferred, but general architectural diagramming acceptable) Background in designing data-intensive applications and digital twin technologies Experience implementing end-to-end AI/ML technical solutions Previous work in research or innovation teams focused on emerging technologies Background in enterprise architecture or systems integration Experience prototyping and communicating new AI/automation ideas and products AWS Cloud Practitioner, AWS Solutions Architect, or equivalent cloud certifications Minimum Years of Experience 6 Travel Requirements 10% Required Level of Education Bachelor's degree or equivalent experience Preferred Level of Education Bachelor's Degree