6 часов назад
Solutions Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (AI): Designing large-scale, data-intensive platforms and intelligent systems for enterprise clients with an accent on distributed systems, APIs, integrations, data processing, and cloud infrastructure. Focus on translating ambiguous requirements into production-ready architectures, navigating governance and stakeholder trade-offs, and applying machine learning outputs in real-time customer-facing systems.
Location: London, England, United Kingdom; hybrid workplace with remote and in-person collaboration
Company
is an independent boutique technology firm delivering bespoke data platforms, intelligent systems, and software products across London, Poland, Sydney, and New Zealand.
What you will do
- Design large-scale enterprise solutions spanning APIs, integrations, data flows, and cloud infrastructure.
- Translate ambiguous business requirements into clear, documented architectures that engineering teams can implement.
- Present and defend designs with enterprise architects, programme leaders, business owners, and other client stakeholders.
- Work through architecture review boards, security reviews, integration standards, and other client governance processes.
- Collaborate with engineers, data scientists, and product managers in an Agile delivery model.
- Develop reusable architecture standards, patterns, and ways of working while balancing long-term design with pragmatic delivery.
Requirements
- Significant experience as a Solutions Architect on large-scale enterprise platforms, taking designs from concept through production.
- Consultancy or comparable client-facing delivery experience across multiple engagements or programmes.
- Strong expertise in distributed systems, API design, integration architecture, data processing, data warehousing, SQL, NoSQL, and data pipelines.
- Experience architecting cloud-native platforms on a major public cloud and understanding containerised, orchestrated deployments such as Docker and Kubernetes.
- Software engineering background with strong written and verbal communication and the ability to produce structured design documentation.
- Experience managing competing stakeholder priorities and making trade-offs across cost, risk, delivery speed, and maintainability.
Nice to have
- Experience with decisioning, next-best-action, personalisation, martech, or commercial platforms.
- Telecommunications experience or work in similarly large, regulated enterprise environments.
- Familiarity with the JVM ecosystem, event-driven architectures, pricing, product catalogue, or commercial configuration systems.
- Experience applying machine learning outputs in real-time customer-facing systems or working with agentic solutions.
Culture & Benefits
- Work in a high-performing, multidisciplinary delivery team with high autonomy and shared ownership.
- Collaborate with client stakeholders both remotely and in person.
- Contribute to an established architecture practice through standards, reusable patterns, and shared ways of working.
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