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Spyrosoft
Spyrosoft
1001 – 5000 Darbinieki
Kvalificēta darbinieka vīzas sponsorsAutobūveKonsultācijasVeselības aprūpe
Spyrosoft ir 2016. gadā dibināts Eiropas tehnoloģiju pakalpojumu un programmatūras izstrādes uzņēmums. Tas palīdz uzņēmumu klientiem īstenot digitālo transformāciju, piedāvājot pielāgotu programmatūras izstrādi, IT konsultācijas, mākoņrisinājumus, mākslīgo intelektu un mašīnmācīšanos, iegulto sistēmu un IoT izstrādi, kiberdrošību, produktu dizainu, pārvaldītus pakalpojumus un personāla papildināšanu. Uzņēmums izstrādā arī platformas un produktus, tostarp DebtPro, Allpro un VoicePro. Tā darbība aptver autobūvi, veselības aprūpi un dzīvības zinātnes, finanšu pakalpojumus, ģeotelpisko jomu, plašsaziņas līdzekļus un izklaidi, robotiku un enerģētiku, un uzņēmums darbojas Eiropā, Apvienotajā Karalistē un ASV.
LinkedIn
Vakances uzņēmumā

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.

PLPolija
190 zł – 220 zł / stunda
AttālinātiPilna slodzeVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
MākonisSadalītās sistēmasSDLC

Apraksts

  • 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.

Prasības

  • 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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