AI Platform Architect

Publix Super MarketsLakeland, FL
2dHybrid

About The Position

Publix Super Markets, Inc., the largest employee-owned company in the U.S., is driven by a dynamic technology team of 2,300+ professionals delivering innovative solutions to 1,400+ stores and 200,000+ associates across 8 states. From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level—internships through technical leadership. Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs—build the future of technology at Publix. Join the Enterprise Architecture team! As an AI Platform Architect, you will play a key technical leadership role in Publix’s adoption of AI. You will work with our Data and AI, Architecture, and Application teams to realize the potential that AI has on Publix’s mission as the Premier Food Retailer in the World. Location: Flexible Hybrid (8 days per month in Lakeland, FL) Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely. Why Join Us? Hybrid Flexibility : Work remotely when you need focus time and join us onsite for high-impact collaboration and brainstorming sessions. Operational Efficiency : Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness. Cutting-Edge AI Projects : Drive innovation in AI platforms, integrating advanced tools and frameworks to solve complex business challenges. Empowered Culture : We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization. Your Impact

Requirements

  • Must have a bachelor’s degree in computer science, or an analytical discipline, or equivalent experience
  • 8+ years of recent experience leading the analysis of complex business problems and translating business requirements into technology solutions that factor in system performance, usability, quality, cross-system interdependencies, scalability, and total cost of ownership
  • 5+ years of recent working experience as an Architect or technical lead on development projects
  • 5+ years of recent experience working with multiple, diverse technical configurations, technologies, and processing environments, including databases, operating systems, application servers, web servers, messaging and message brokers, web services, workflow, security, and portals
  • 1+ years of experience leading AI/ML platform initiatives (LLM platforms, MLOps, etc.)
  • 1+ years of experience in designing, developing, and scaling AI-based solutions (such as RAG, Agentic Workflows, model routing, fine-tuning)
  • 1+ years of experience in at least one of the major AI platforms (such as OpenAI, Microsoft, AWS, or Google)
  • Strong knowledge and experience with LLM toolchains and frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI/Azure/Gemini agent development frameworks
  • Knowledge and experience with vector databases, and embedding/model selection
  • Strong knowledge and experience with prompt engineering, evaluation, and guardrails for AI solutions
  • Strong knowledge and experience with API technologies such as REST, gRPC, OpenAPI, and API first development
  • Knowledge and experience in containerizing applications and container orchestration
  • Knowledge and experience working with NoSQL databases such as MongoDB or Casandra
  • Knowledge and experience developing and deploying cloud solutions in Azure, GCP or AWS
  • Knowledge and experience with data streaming (Kafka), batch (Spark), data lake, and ETL/ELT platform

Responsibilities

  • Developing and maintaining the enterprise AI platform roadmap aligned with Publix’s business objectives.
  • Evaluating emerging AI technologies and platforms for scalability, security, and compliance.
  • Establishing standards and best practices for AI platform adoption across the organization.
  • Designing and developing robust, scalable, and secure AI platform architecture.
  • Ensure integration with existing enterprise systems, data pipelines, and cloud environments.
  • Optimizing the AI Platform infrastructure for performance, cost-efficiency, and high availability.
  • Producing architecture documentation and deliverables, including Architecture Plans, ADRs, proofs-of-concepts, standards, and roadmaps.
  • Providing leadership, knowledge, and experience to teams on the architecture, design, and delivery of cost-effective and sustainable AI solutions.
  • Providing training, mentoring, and knowledge transfer to team members.
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