Spyrosoft
Spyrosoft
Spyrosoft यूरोप की एक प्रौद्योगिकी सेवा और सॉफ्टवेयर इंजीनियरिंग कंपनी है, जिसकी स्थापना 2016 में हुई थी। यह कस्टम सॉफ्टवेयर विकास, आईटी परामर्श, क्लाउड समाधान, एआई और मशीन लर्निंग, एम्बेडेड और आईओटी इंजीनियरिंग, साइबर सुरक्षा, उत्पाद डिजाइन, प्रबंधित सेवाओं और स्टाफ संवर्धन के माध्यम से एंटरप्राइज़ ग्राहकों को डिजिटल रूपांतरण में आगे बढ़ने में मदद करती है। कंपनी DebtPro, Allpro और VoicePro सहित प्लेटफ़ॉर्म और उत्पाद भी विकसित करती है। इसका काम ऑटोमोटिव, स्वास्थ्य सेवा और जीवन विज्ञान, वित्तीय सेवाओं, भू-स्थानिक क्षेत्र, मीडिया और मनोरंजन, रोबोटिक्स तथा ऊर्जा जैसे क्षेत्रों में फैला है और इसका संचालन यूरोप, यूके तथा अमेरिका में है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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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