Solutions Architect
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Role details
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Job description
Our teams are building next-generation digital products powered by Artificial Intelligence, enterprise data platforms, cloud-native technologies, and intelligent automation. Through modern architecture, scalable integrations, and responsible AI, we are transforming how workforce solutions are delivered globally.
As a Solutions Architect, you’ll play a critical role in shaping and governing enterprise-wide solutions that bridge applications, data, cloud services, integrations, and AI-driven capabilities. You’ll help define the technical foundations that enable product teams to innovate at scale while ensuring security, resilience, governance, and operational excellence.
This is a unique opportunity to work on greenfield AI initiatives, influence enterprise technology strategy, and establish architecture standards that will shape the future of intelligent workforce platforms.
What You’ll Do
As a Solutions Architect, you’ll work across the full solution lifecycle, partnering with Product, Engineering, Data, Security, and business stakeholders to design scalable and future-ready technology solutions.
You will:
- Design end-to-end technology solutions spanning applications, integrations, data platforms, AI services, and cloud environments.
- Define architecture patterns, standards, reference architectures, and implementation roadmaps.
- Produce high-quality architecture documentation, solution designs, and Architecture Decision Records (ADRs).
- Lead architecture reviews and provide technical assurance throughout delivery lifecycles.
- Design and govern Agentic AI and Generative AI solutions integrated with enterprise systems and data platforms.
- Define AI orchestration patterns, prompt management approaches, agent workflows, and human-in-the-loop controls.
- Establish secure integration architectures using APIs, event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services.
- Develop data flow models, canonical data structures, and data contracts that support analytics and AI adoption.
- Ensure architecture solutions align with security, privacy, compliance, and governance requirements.
- Collaborate closely with delivery squads, engineering teams, and product leaders to accelerate delivery outcomes.
- Provide architectural guidance across multiple initiatives while influencing technology strategy and standards.
- Mentor engineers, architects, and technical specialists on architecture best practices and modern design principles., You will work with technologies and practices including:
Solution Architecture
- Enterprise Architecture
- Solution Design
- Architecture Governance
- Reference Architectures
- Architecture Decision Records (ADRs)
Artificial Intelligence
- Agentic AI
- Generative AI
- Large Language Models (LLMs)
- AI Orchestration Frameworks
- Human-in-the-Loop Design
- Responsible AI
Integration & Data
- API-Led Architecture
- Event-Driven Architecture
- Middleware Platforms
- Data Streaming
- ETL / ELT
- Data Contracts
- Data Governance
Cloud & Security
- Microsoft Azure
- Cloud-Native Architecture
- Identity & Access Management
- Security by Design
- Privacy by Design
- Risk & Compliance Management
Leadership & Collaboration
- Technical Leadership
- Architecture Reviews
- Stakeholder Engagement
- Cross-Functional Delivery Squads
- Technology Strategy
- Mentoring & Coaching
What Success Looks Like
Within your first year, you will:
- Establish scalable architecture standards that accelerate delivery while maintaining governance and security.
- Successfully enable AI-powered business capabilities through secure and well-governed solution designs.
- Improve integration consistency through reusable architecture patterns and standards.
- Strengthen data quality, traceability, and governance across enterprise platforms.
- Increase architecture maturity through effective decision-making, technical leadership, and collaboration.
- Support squads in delivering innovative products faster while reducing technical complexity and delivery risk.
- Influence the organisation’s long-term AI, integration, cloud, and enterprise technology strategy.
Why Join Us
Work on Meaningful Challenges
Help design intelligent platforms that transform how organisations leverage AI, data, and technology to engage with talent and workforce ecosystems.
Shape the Future of Enterprise AI
Play a key role in defining the architecture patterns, governance frameworks, and technical foundations that support responsible AI adoption at scale.
Modern Technology Landscape
Work across cloud-native platforms, enterprise integrations, data products, automation technologies, and next-generation AI capabilities.
Requirements
- 8+ years of experience in Solution Architecture, Enterprise Architecture, Integration Architecture, or similar strategic architecture roles.
- Demonstrated experience designing end-to-end enterprise technology solutions across multiple platforms and domains.
- Strong expertise in enterprise integration architecture including APIs, events, middleware, and data streaming technologies.
- Hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, AI orchestration frameworks, and automation platforms.
- Strong understanding of Microsoft Azure cloud services, integration platforms, and cloud-native architecture patterns.
- Experience designing data-centric solutions involving governance, data quality, lineage, and analytics platforms.
- Proven track record leading architecture reviews and influencing senior technology and business stakeholders.
- Experience working within regulated environments with strong security, privacy, risk, and governance requirements.
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences., * Microsoft Azure Solutions Architect Expert certification or equivalent cloud architecture certification.
- TOGAF or alternative Enterprise Architecture framework certification.
- Experience with Dynamics 365, Power Platform, and Dataverse.
- Knowledge of Responsible AI principles, AI governance frameworks, and explainability practices.
- Experience with event-driven architectures, enterprise integration platforms, and API management solutions.
- Experience operating within data-intensive, professional services, or workforce solutions environments.
- Strong understanding of Master Data Management (MDM), data governance, and enterprise data strategies.
- Continuous professional development across AI, cloud architecture, and integration technologies.
Benefits & conditions
- Hybrid working model
- Performance-based annual bonus
- 28 days annual leave plus public holidays
- Annual leave purchase scheme
- Private healthcare
- Discounted dental insurance
- Health cashback programme
- Paid volunteering days
- Caregiver leave
- Retail discounts
- Employee share scheme
Our Culture
We believe great technology is built through collaboration, innovation, and continuous learning.
We foster an environment where architects are enablers of delivery rather than gatekeepers of process. We encourage experimentation, responsible innovation, engineering excellence, and customer-focused outcomes.
If you’re passionate about Solution Architecture, Artificial Intelligence, Enterprise Integration, and building scalable technology platforms that make a real impact, we’d love to hear from you.
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