Enterprise AI Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Enterprise AI Architect (AI): Designing and evolving enterprise-level AI architectures across cloud environments with an accent on scalability, security, and governance. Focus on leading the integration of LLMs and agentic AI into end-to-end business processes while maintaining robust reference frameworks.
Location: Barcelona, Spain (Hybrid model with remote work flexibility)
Company
is a global digital transformation accelerator and part of the EPAM group, combining engineering excellence with regional expertise to deliver high-value results for clients worldwide.
What you will do
- Design and evolve enterprise-level AI architectures ensuring scalability and security across AWS, Azure, and Google Cloud.
- Lead the integration of LLMs and agentic AI frameworks into core business processes.
- Translate complex business requirements into robust AI/ML solutions using Python.
- Define and maintain reference architecture designs, patterns, and best practices for AI and knowledge management.
- Collaborate with cross-functional teams, including data offices, R&D, and business technology stakeholders.
- Ensure all AI solutions comply with FAIR AI principles and enterprise governance standards.
Requirements
- 8+ years of experience in enterprise architecture focused on AI/ML.
- Proven experience deploying AI architectures on major cloud platforms.
- Hands-on expertise with LLMs, Generative AI, and agentic frameworks.
- Strong proficiency in Python and data manipulation libraries.
- Solid understanding of AI security and responsible governance principles.
- Advanced level of English required.
Nice to have
- Experience with MLOps and model lifecycle management.
- Background in regulated industries such as pharma, healthcare, or finance.
- Knowledge of NLP and knowledge graphs.
- Relevant cloud or enterprise architecture certifications.
Culture & Benefits
- Permanent contract with competitive compensation.
- Flexible working model with remote options and flexible hours.
- Personalized career development plans and continuous training programs.
- Stable, long-term technical projects.
- Social benefits tailored to individual needs and a focus on work-life balance.
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