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Spyrosoft
Spyrosoft
1001 – 5000 Zaposleni
Sponzor vizuma za kvalificirane delavceAvtomobilska industrijaSvetovanjeZdravstveno varstvo
Spyrosoft je evropsko podjetje za tehnološke storitve in programsko inženirstvo, ustanovljeno leta 2016. Poslovnim strankam pomaga pri digitalni preobrazbi z razvojem programske opreme po meri, IT-svetovanjem, rešitvami v oblaku, umetno inteligenco in strojnim učenjem, razvojem vgrajenih sistemov in rešitev IoT, kibernetsko varnostjo, oblikovanjem izdelkov, upravljanimi storitvami ter povečevanjem ekip. Podjetje razvija tudi platforme in izdelke, med drugim DebtPro, Allpro in VoicePro. Njegovo delovanje zajema avtomobilsko industrijo, zdravstvo in vede o življenju, finančne storitve, geoprostorske tehnologije, medije in zabavo, robotiko ter energetiko, pri čemer posluje po Evropi, v Združenem kraljestvu in ZDA.
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Delovna mesta v podjetju

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.

PLPoljska
190 zł – 220 zł / ura
Na daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaInženir strojnega učenjaInženir umetne inteligence
OblakPorazdeljeni sistemiSDLC

Opis

  • 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.

Zahteve

  • 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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