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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная principal-роль в Company hidden сочетает архитектурное лидерство с современными AI-задачами и даёт возможность влиять на внедрение технологий в разных продуктах.
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Передовые AI-технологииПонятная зона ответственностиAI в финансовом сектореПрозрачный карьерный рост
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal AI Solutions Architect (Java/Spring AI/LLM/RAG): Defining enterprise AI architecture and building scalable intelligent services across hybrid cloud and on-premises environments with an accent on agentic workflows, distributed systems, and responsible AI. Focus on designing multi-agent systems, integrating LLMs and vector databases, establishing governance and observability, and mentoring engineering teams.
Location: London, United Kingdom; hybrid work environment with at least 3 days per week in-office, subject to change.
Company
hirify.global is building intelligent services across its enterprise technology landscape.
What you will do
Define and lead the enterprise AI architecture strategy, including agentic workflows, multi-agent systems, and LLM integration patterns for customer-facing and internal platforms.
Architect scalable and resilient solutions using Java, Spring Boot, Spring AI, REST APIs, event-driven architectures, and microservices.
Establish reference implementations and align AI initiatives with application, integration, security, and infrastructure standards across hybrid cloud and on-premises environments.
Define governance, observability, and responsible AI controls covering model lifecycle management, prompt security, data protection, and compliance.
Mentor engineers, architects, and technical leads while advising senior technology leadership and driving consistency across products and platforms.
Requirements
Several years of software engineering and architecture experience, including 5+ years designing large-scale distributed systems, with strong Java, Spring Boot, and enterprise application design experience.
Experience with AI architecture patterns including agentic workflow design, RAG architectures, LLM integration, vector databases, and AI orchestration frameworks such as Spring AI or comparable tools.
Experience designing and delivering cloud-native and hybrid-cloud solutions across AWS, Azure, OCI, or GCP, including Kubernetes, container platforms, and CI/CD pipelines.
Strong understanding of microservices, event-driven systems, API governance, domain-driven design, and enterprise integration architectures.
Clear communication skills and experience influencing engineering, product, infrastructure, and executive leadership teams across complex, matrixed organizations.
Nice to have
Familiarity with LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector.
Experience building AI-powered applications in regulated industries, including financial services or trading environments.
Knowledge of enterprise architecture frameworks, governance models, and developer experience practices.
Culture & Benefits
Hybrid work with at least 3 days per week in-office, subject to change.
Competitive rewards package supporting employees' and, where applicable, their families' financial, physical, and emotional well-being.
Base pay may be supplemented by short-term incentives and long-term incentives such as equity, where applicable.
Structured job architecture and career framework with transparent growth opportunities and room for progression within the salary band.
Inclusive workplace with reasonable accommodation throughout the hiring process.
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