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Spyrosoft
Spyrosoft
1.001 – 5.000 Angajați
Sponsor pentru viza de lucrător calificatAsistență medicalăConsultanțăIndustria auto
Spyrosoft este o companie europeană de servicii tehnologice și inginerie software, fondată în 2016. Aceasta ajută clienții din sectorul enterprise să urmărească transformarea digitală prin dezvoltare software personalizată, consultanță IT, soluții cloud, inteligență artificială și machine learning, inginerie pentru sisteme încorporate și IoT, securitate cibernetică, design de produs, servicii gestionate și furnizare de specialiști. Compania dezvoltă, de asemenea, platforme și produse precum DebtPro, Allpro și VoicePro. Activitatea sa acoperă domeniile auto, sănătate și științele vieții, servicii financiare, tehnologii geospațiale, media și divertisment, robotică și energie, cu operațiuni în Europa, Regatul Unit și Statele Unite.
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Locurile de muncă ale companiei

Senior AI Architect

Design and deliver generative AI and agentic systems for Spyrosoft’s enterprise clients. Lead architecture, prototyping, integration, and engineering collaboration from discovery through implementation.

PLPolonia
190 zł – 220 zł / oră
RemoteNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer AIInginer de învățare automată
CloudSDLCSisteme distribuite

Descriere

  • Shape end-to-end AI architectures around business and technical needs.
  • Design generative AI and multi-agent systems, covering orchestration, context, retrieval, tools, and human review.
  • Combine machine learning, large language models, business rules, and enterprise software in solution designs.
  • Set integration patterns, API contracts, data flows, versioning, and reliability measures.
  • Record architecture decisions and weigh performance, scale, security, reliability, accuracy, and cost.
  • Design production AI systems with evaluation, monitoring, observability, security, and maintenance built in.
  • Create prototypes and proof-of-concepts to test assumptions and speed delivery.
  • Review technical designs and help engineering teams resolve difficult implementation issues.
  • Work with client stakeholders, enterprise architects, and engineering teams.
  • Run discovery workshops, assess feasibility, present architecture options, estimate projects, and plan implementation.
  • Assess emerging AI technologies and develop reusable patterns, standards, and practices for Spyrosoft’s AI team.

Cerințe

  • Demonstrated experience taking complex AI solutions from initial concept through production delivery.
  • Strong knowledge of enterprise architecture, distributed systems, integration patterns, and scalable software design.
  • Practical experience with generative AI, agentic systems, orchestration frameworks, tool calling, retrieval, context management, and human review workflows.
  • Solid understanding of machine learning architectures, model training and inference pipelines, model serving, and data dependencies.
  • Experience connecting AI systems to enterprise applications, APIs, databases, and external services.
  • Ability to assess trade-offs involving performance, scalability, security, reliability, maintainability, and cost.
  • Knowledge of production AI engineering, including testing, evaluation, monitoring, observability, CI/CD, and lifecycle management.
  • Understanding of AI security, data privacy, access controls, threat modeling, and risks in LLM-powered systems.
  • Familiarity with MCP, agent-to-agent communication protocols, and emerging interoperability standards.
  • Practical engineering approach, including building prototypes to test architectural assumptions.
  • Experience with at least one major cloud platform.
  • Strong stakeholder management and technical leadership capabilities.
  • Excellent problem-solving and communication skills.
  • Fluent spoken and written English.
  • Preferred: experience with intelligent document processing and workflow automation.
  • Preferred: experience developing knowledge-intensive applications.
  • Preferred: knowledge of AI SDLC, MLOps/LLMOps, AI governance, and evaluation frameworks.
  • Preferred: background in consulting, software services, or technical pre-sales.
  • Preferred: experience leading architecture workshops and multidisciplinary teams.

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