Sr Tech Solution Architect Data Platform

Philip Morris Limited
UK
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Continuous Integration Data Infrastructure Graph Database Identity and Access Management Machine Learning Search Technologies Enterprise Search
+11 more
Retrieval-Augmented Generation Snowflake Generative AI Agentic-AI AI Platforms Kubernetes Infrastructure Automation Frameworks Data Management Machine Learning Operations Devsecops Databricks

Job description

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., * 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.

Requirements

  • 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., * 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.

About the company

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.

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