AI Architect

Job not on LinkedIn

🔥 12 hours ago

🇵🇱 Poland – Remote

💵 zł190 - zł220 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Spyrosoft

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2016

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

Spyrosoft is a European technology services and software engineering company that partners with enterprises to deliver digital transformation, custom software, and IT consulting. It provides cloud, AI/ML, embedded and IoT development, cybersecurity, product design, managed services, and staff augmentation, and builds platforms and products such as DebtPro, Allpro, and VoicePro. Spyrosoft serves clients across multiple sectors including automotive, healthcare and life sciences, financial services, geospatial, media and entertainment, robotics and energy, and operates from offices across Europe, the UK, and the US.

📋 Description

• Lead the design of end-to-end AI solution architectures aligned with business and technical requirements • Design Generative AI and multi-agent systems, including orchestration, context management, retrieval strategies, tool integration, and human-in-the-loop workflows • Architect solutions combining traditional machine learning, LLMs, business rules, and enterprise software components • Define integration architectures, API contracts, data flows, versioning strategies, and reliability mechanisms • Document key architectural decisions while balancing performance, scalability, security, reliability, accuracy, and cost • Design production-ready AI systems with evaluation, monitoring, observability, security, and maintenance capabilities • Build prototypes and proof-of-concepts to validate technical assumptions and accelerate delivery • Review technical designs and support engineering teams with complex implementation challenges • Collaborate with client stakeholders, enterprise architects, and engineering teams • Lead technical discovery workshops, feasibility assessments, architecture proposals, project estimation, and implementation planning • Evaluate emerging AI technologies and contribute reusable architectural patterns, standards, and best practices across Spyrosoft’s AI practice

🎯 Requirements

• Proven experience designing and delivering complex AI solutions from concept to production • Strong background in enterprise solution 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-in-the-loop solutions • Solid understanding of machine learning architectures, model training and inference pipelines, model serving, and data dependencies • Experience integrating AI solutions with enterprise applications, APIs, databases, and external services • Ability to evaluate technical trade-offs across performance, scalability, security, reliability, maintainability, and cost • Knowledge of production-grade AI engineering practices, including testing, evaluation, monitoring, observability, CI/CD, and lifecycle management • Understanding of AI security, data privacy, access control, threat modeling, and risks related to LLM-powered systems • Familiarity with MCP, agent-to-agent communication protocols, and emerging interoperability standards • Hands-on engineering mindset with the ability to create prototypes and validate architectural assumptions • Experience working with at least one major cloud platform • Strong stakeholder management and technical leadership skills • Excellent problem-solving and communication abilities • Fluent English (spoken and written) • Nice to have: experience with intelligent document processing and workflow automation solutions • Nice to have: experience building knowledge-intensive applications • Nice to have: knowledge of AI SDLC, MLOps/LLMOps practices, AI governance, and evaluation frameworks • Nice to have: previous experience in consulting, software services, or technical pre-sales activities • Nice to have: experience leading architecture workshops and multidisciplinary teams