Philip

Senior Tech Solution Architect Data Platform

Krakow, Poland

Live, first seen by us 20 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
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.
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Employment: Not stated

What you’ll work on

Full posting

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.

Define and evolve architecture for AI, generative AI and agentic AI platforms
Design reusable services such as AI gateways, guardrails, workflows and governance controls
Establish integration patterns across applications, APIs, data platforms and AI agents
Lead architecture reviews, technology evaluations and proof-of-concept work
Partner with engineering teams to deliver scalable platform capabilities

From the employer’s posting

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.

Establish integration patterns across applications, APIs, data platforms, and AI agents.

Lead architecture reviews, technology evaluations, and proof-of-concept initiatives.

Partner with engineering teams to deliver scalable, enterprise-ready platform capabilities.

Apply at Philip

Posting record

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Status in our records: Live
First seen by us: Oct 14, 202620 days ago
Recorded sightings: 60
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 20

Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Philip is hiring

17 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring is steady
Takes jobs down at a usual pace
6% of open jobs were reposted

Hiring record

See how this role fits your experience

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AWS
Azure
Databricks
Kubernetes
Snowflake

Where the posting names them

Nice-to-Haves - Experience with Azure, AWS, Databricks, Snowflake, or similar platforms. - Knowledge of Infrastructure as Code, CI/CD, DevSecOps, and platform engineering practices.

- 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.

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Your next step

Complete your application on join.pmicareers.com. The employer’s form will show what is required.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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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