Principal Solution Architect, AI Agents

Wolters Kluwer; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A leading information services company is seeking a Principal Solution Architect in Greater London to design scalable AI solutions leveraging their GenAI platform. You will collaborate across product teams, mentor engineers, and provide technical consulting. Candidates should have extensive experience in cloud-native architectures and a passion for AI development. The role offers opportunities for significant impact and innovation in various industries.

Qualifications

• 8+ years of professional software engineering or solution architecture experience.
• Strong experience designing and implementing cloud-native architectures.
• Proven ability to rapidly prototype solutions and demonstrate technical concepts.

Responsibilities

• Partner with product teams to design scalable and reliable solutions.
• Provide technical consulting on best practices for AI agent development.
• Conduct architecture reviews and design sessions to meet compliance requirements.

Skills

Cloud-native architectures

Prototyping solutions

Problem-solving

Cross-functional communication

Tools

AWS

Azure

GCP

TypeScript

Node.js

Python

Docker

Terraform

Job description

#BETHEDIFFERENCE

If making a difference matters to you,then you matter to us.

As a Principal Solution Architect, Ai Agent, you will help product engineering teams design and implement scalable AI solutions that leverage WK's GenAI platform to drive impact in healthcare, legal, tax, and compliance industries. Your expertise will enable teams to deliver innovative solutions at scale.

About this role

Our team is building a central GenAI Platform to empower hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents. As a Principal Solution Architect , you will play a critical role in enabling these teams to design and implement solutions that leverage the platform effectively.

You’ll act as a trusted advisor, helping teams navigate technical challenges, design scalable architectures, and prototype solutions. In addition to creating proof-of-concepts to demonstrate best practices and accelerate adoption, you’ll play a key role in driving the evolution of the GenAI platform by identifying gaps, proposing enhancements, and collaborating with platform engineering teams to deliver new capabilities.

This high-impact role requires a deep understanding of AI agent development, cloud-native architectures, and the ability to collaborate across diverse teams. You’ll work closely with engineering, product, and domain experts to ensure the platform delivers measurable outcomes for the organization.

Tech stack

You don’t need to know all of these on day one, but you should be ready to learn quickly.

• TypeScript, Node.js, React, Python, LangChain, MCP / A2A, Rust
• AWS (primary), Azure, GCP; Docker, Terraform, GitHub Actions
• DocumentDB, DynamoDB, OpenSearch, Azure AI Search
• Azure OpenAI, AWS Anthropic, Google Gemini
• GitHub, Confluence, Slack

What you’ll do

• Partner with product teams to design scalable, secure, and reliable solutions that leverage the GenAI platform.
• Provide technical consulting and guidance on best practices for AI agent development, deployment, and integration.
• Rapidly prototype solutions to demonstrate platform capabilities and accelerate adoption.
• Collaborate with platform engineering teams to identify and address gaps in platform capabilities based on customer needs.
• Conduct architecture reviews, threat modeling, and design sessions to ensure solutions meet security, privacy, and compliance requirements.
• Act as a bridge between platform and product teams, ensuring alignment on technical and business goals.
• Stay up-to-date with the latest AI / LLM patterns (RAG, retrieval, routing, tool-use, evals) and help teams apply them effectively.
• Mentor engineers and promote knowledge sharing across teams.

Team context

• Org and Sub-teams : Central GenAI Platform within Wolters Kluwer, driving innovation across businesses by creating re-usable platform services and components. Sub-teams are fewer than 10 engineers, focused on platform services or customer-facing agents.
• Culture and Reporting : We value a "manager of one" mindset, where outcomes matter more than optics. Authority is earned through demonstrated impact, not tenure or title. You’ll report directly to the Director of Engineering, AI Platform.
• Team Size and Impact : Our globally distributed team of ~100 engineers combines the stability of an established company with the agility of a startup. We are moving fast, and there are many areas where you can have a big impact.

Minimum qualifications

• 8+ years of professional software engineering or solution architecture experience.
• Strong experience designing and implementing cloud-native architectures (AWS / Azure / GCP).
• Proven ability to rapidly prototype solutions and demonstrate technical concepts.
• Excellent problem-solving, ownership, and cross-functional communication skills.

Nice to have

• Expertise in health, legal, tax, or compliance domains.
• Experience consulting or working directly with product teams to deliver AI solutions.
• Familiarity with LangChain, MCP, vector / RAG systems, and OpenSearch.
• Understanding of LLMs, their failure modes, and techniques like fine-tuning and model adaptation.
• Experience with regulatory frameworks such as SOC2, HIPAA, etc.
• Proven ability to deliver software products independently or as part of a small, fast-paced team.

Your first months

• Month 1 : Deep dive into the GenAI platform by pairing and shadowing with a senior platform engineer. Deliver several small improvements to the platform to build familiarity with its architecture and capabilities.
• Month 2 : Partner with a product engineering team to understand their needs and help them build a prototype solution leveraging the GenAI platform.
• Month 3 and onwards : Work across multiple teams to design and deliver prototypes, providing solution design, consulting, and technical guidance. Identify opportunities to enhance platform capabilities.
• By the end of year 1 : Contribute to taking some of the prototypes live to production, demonstrating measurable impact and scalability.