Sr Tech Solution Architect Data Platform

Philip Morris International; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

Philip Morris International (London, United Kingdom) seeks an AI Platform Architect to shape PMI's enterprise AI platform, enabling teams globally to build, deploy, and govern AI solutions at scale. Hybrid work pattern with 3 days on-site per week, within the Data Platform Architecture team.

You will define reusable platform capabilities across ML, generative AI, and agentic AI while aligning with PMI’s data, security, and governance strategies.

Qualifications

• 10+ years of data and AI experience, incl. 5+ years in architecture roles.
• Proven track record designing enterprise AI or ML platforms.
• Strong expertise in cloud-native architecture, APIs, containers, and Kubernetes.
• Experience with MLOps and AI lifecycle management.
• Knowledge of generative AI, embeddings, vector search, and agentic AI concepts.
• Understanding of security, privacy, identity management, and responsible AI.
• Experience developing architecture standards, reference architectures, and governance frameworks.

Responsibilities

• Define and evolve architecture for AI, generative AI, and agentic AI platforms.
• Design reusable services including AI gateways, guardrails, workflows, and governance controls.
• Partner with engineering teams to deliver scalable, enterprise‑ready platform capabilities.
• Establish integration patterns across applications, APIs, data platforms, and AI agents.
• Lead architecture reviews, technology evaluations, and proof‑of‑concept initiatives.
• Collaborate with security, risk, legal, and product teams to ensure responsible AI adoption.
• Provide technical leadership and guidance to architects, engineers, and senior stakeholders.

Skills

AI architecture

Enterprise AI platforms

Cloud-native architecture

MLOps

Security & privacy

Governance frameworks

Leadership

Tools

Kubernetes

APIs

CI/CD

Infrastructure as Code

DevSecOps

Databricks

Vector databases

Job description

Location: London, United Kingdom

Working Pattern: Hybrid, 3 days on-site per week

At PMI, we’ve chosen to do something incredible. We’ve transformed our business and are building our future on one clear purpose—to deliver a smoke‑free future.

With huge change comes huge opportunity. So, wherever 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.

About The Role

As an AI Platform Architect, you will shape the future of PMI’s enterprise AI platform, enabling teams globally to build, deploy, and govern AI solutions at scale. Working within the Data Platform Architecture team, you will define reusable platform capabilities across machine learning, generative AI, and agentic AI while ensuring alignment with PMI’s data, security, and governance strategies.

What You’ll Do

• Define and evolve architecture for AI, generative AI, and agentic AI platforms.
• Design reusable services including AI gateways, guardrails, workflows, and governance controls.
• Partner with engineering teams to deliver scalable, enterprise‑ready platform capabilities.
• Establish integration patterns across applications, APIs, data platforms, and AI agents.
• Lead architecture reviews, technology evaluations, and proof‑of‑concept initiatives.
• Collaborate with security, risk, legal, and product teams to ensure responsible AI adoption.
• Provide technical leadership and guidance to architects, engineers, and senior stakeholders.

Skills & Capabilities

Must‑Haves

• 10+ years of experience in data and AI, including 5+ years in architecture roles.
• Proven experience designing enterprise AI or machine learning platforms.
• Strong knowledge of cloud‑native architecture, APIs, containers, and Kubernetes.
• Experience with MLOps or AI lifecycle management practices.
• Knowledge of generative AI, RAG, vector search, embeddings, and agentic AI concepts.
• Understanding of security, privacy, identity management, and responsible AI.
• Experience developing architecture standards, reference architectures, and governance frameworks.

Nice‑to‑Haves

• Experience with Azure, AWS, Databricks, Snowflake, or similar platforms.
• Knowledge of Infrastructure as Code, CI/CD, DevSecOps, and platform engineering practices.
• Experience with vector databases, enterprise search, or knowledge graph technologies.

Equal Opportunities Statement

We believe that diverse perspectives and experiences make us stronger. As an equal opportunity employer, we are committed to creating a workplace where every individual feels welcomed, respected, valued, and empowered to reach their full potential.

We encourage applications from people of all backgrounds and identities, and provide reasonable accommodations to ensure an accessible recruitment process. If you need support or adjustments during your application, let us know—we’re here to help you succeed.

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