Principal Domain Architect - AI
About The Position
Principal Domain Architect – AI – Tampa, FL Be a part of a revolutionary change! At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress. Your ‘day to day’: Establish the AI-first architecture principles from the perspective of AI platform, influencing, how all-consuming platform domains adopt and scale AI. Design and architect strategies, pathways and decision trees to formulate ecosystem for Agentic systems, Agent-to-Agent Communications, Agentic Orchestration, Intelligent Workflows (not only limited to data) Provide ROI for ensuring the AI capabilities to integrate seamlessly with all platform engineering domains which includes but is not limited to API gateways, data platform contracts, eventing systems, IAM endpoints, semantic layers. Partner with cross-platform domains to embed AI in “everything platform”, i.e. Observability, CI/CD, Data Platforms, DevEx, Security, Workplace Services, Incident and Problem management etc. Define standards for multi-agent and cross-agent collaboration, integration, policies and AI-to-system interaction patterns. Responsible for end-to-end AI Lifecycle Architecture which includes full AIOps, MLOps and LLMOps. Guide the architecture of the AI Platform – including LLM services, vector databases, feature stores, model serving infrastructure, agent frameworks and orchestration layers. Strategize the step-by-step roadmap for building foundational components required to establish strong AI foundation and infrastructure stack. Bring outside-in thinking and thought leadership to drive experimentation, PoCs on emerging AI trends paving a way forward to AI-augmented architectures and AI-driven productivity and deliveries. Who we’re looking for: Legally authorized to work in the U.S. Commutable distance to Tampa, FL.
Requirements
- Legally authorized to work in the U.S.
- Commutable distance to Tampa, FL.
- 8+ years of experience in engineering, ML, data platforms and/or distributed systems as a senior architect.
- Deep hands-on experience with modern cloud providers like AWS, Azure or GCP and AI/ML technology stack (including but not limited to LLMs, MCPs, K8s, Open AI, Snowflake, Databricks etc.)
- Deep knowledge about mechanics of building AI platform as a service, Agent to Agent Orchestration, Agentic Layer Integration, AI UX Layer and Conversational AI Models.
- Awareness of Responsible AI frameworks, evaluation standards and frameworks.
- Strong architecture skills in Distributed systems, Data engineering, Cloud Architectures and Platform Engineering.
- Experience with data governance, metadata systems, semantic layers and knowledge graphs.
- Experience in providing clear guidance on designing secure and regulated AI systems at the enterprise scale.
- Ability to break / decouple AI ecosystems into clear capabilities, standards and integration patterns.
- Prior experience in Platform Engineering and building horizontal shared or central capabilities.
Responsibilities
- Establish the AI-first architecture principles from the perspective of AI platform, influencing, how all-consuming platform domains adopt and scale AI.
- Design and architect strategies, pathways and decision trees to formulate ecosystem for Agentic systems, Agent-to-Agent Communications, Agentic Orchestration, Intelligent Workflows (not only limited to data)
- Provide ROI for ensuring the AI capabilities to integrate seamlessly with all platform engineering domains which includes but is not limited to API gateways, data platform contracts, eventing systems, IAM endpoints, semantic layers.
- Partner with cross-platform domains to embed AI in “everything platform”, i.e. Observability, CI/CD, Data Platforms, DevEx, Security, Workplace Services, Incident and Problem management etc.
- Define standards for multi-agent and cross-agent collaboration, integration, policies and AI-to-system interaction patterns.
- Responsible for end-to-end AI Lifecycle Architecture which includes full AIOps, MLOps and LLMOps.
- Guide the architecture of the AI Platform – including LLM services, vector databases, feature stores, model serving infrastructure, agent frameworks and orchestration layers.
- Strategize the step-by-step roadmap for building foundational components required to establish strong AI foundation and infrastructure stack.
- Bring outside-in thinking and thought leadership to drive experimentation, PoCs on emerging AI trends paving a way forward to AI-augmented architectures and AI-driven productivity and deliveries.
Benefits
- We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
- We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
- Seize the freedom to define your future and ours.
- We’ll empower you to take risks, experiment and explore.
- Be part of an inclusive, diverse culture where everyone’s contribution is respected; Collaborate with some of the world’s best people and feel like you belong.
- Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress.
- Take pride in delivering our promise to society: To improve the lives of millions of smokers
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
