Sr Tech Solution Architect Data Platform
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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 have
- 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.
Full 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.