AI Architect

This is a fully remote position, open to applicants in Poland.

📋 Description

• Oversee the creation of comprehensive AI solution architectures that meet both business and technical specifications.

• Design Generative AI and multi-agent systems, focusing on aspects like orchestration, context management, retrieval strategies, tool integration, and human-in-the-loop workflows.

• Develop architectures that integrate traditional machine learning, large language models (LLMs), business rules, and components of enterprise software.

• Establish integration architectures, API contracts, data flows, versioning strategies, and mechanisms for reliability.

• Record significant architectural decisions while balancing performance, scalability, security, reliability, accuracy, and cost considerations.

• Create production-ready AI systems equipped with evaluation, monitoring, observability, security, and maintenance features.

• Construct prototypes and proof-of-concept models to test technical assumptions and expedite project delivery.

• Review technical designs and assist engineering teams in overcoming complex implementation obstacles.

• Partner with client stakeholders, enterprise architects, and engineering teams.

• Lead technical discovery workshops, conduct feasibility assessments, propose architecture solutions, estimate project scopes, and plan implementations.

• Assess emerging AI technologies and contribute to the development of reusable architectural patterns, standards, and best practices within Spyrosoft’s AI practice.

⛳️ Requirements

• Demonstrated experience in designing and implementing intricate AI solutions from inception to deployment.

• Strong expertise in enterprise solution architecture, distributed systems, integration patterns, and scalable software design.

• Practical knowledge of Generative AI, agentic systems, orchestration frameworks, and human-in-the-loop solutions.

• Comprehensive understanding of machine learning architectures, including model training, inference pipelines, model serving, and data dependencies.

• Experience in integrating AI solutions with enterprise applications, APIs, databases, and external services.

• Capability to assess technical trade-offs regarding performance, scalability, security, reliability, maintainability, and cost.

• Familiarity with production-grade AI engineering practices such as testing, evaluation, monitoring, observability, CI/CD, and lifecycle management.

• Knowledge of AI security, data privacy, access control, threat modeling, and risks associated with LLM-powered systems.

• Awareness of MCP, agent-to-agent communication protocols, and emerging interoperability standards.

• Hands-on engineering approach with the capability to develop prototypes and verify architectural assumptions.

• Experience with at least one major cloud platform.

• Strong skills in stakeholder management and technical leadership.

• Excellent problem-solving and communication skills.

• Proficiency in English (both spoken and written).

• Nice to have: experience in intelligent document processing and workflow automation solutions.

• Nice to have: background in building knowledge-intensive applications.

• Nice to have: understanding of AI SDLC, MLOps/LLMOps practices, AI governance, and evaluation frameworks.

• Nice to have: previous experience in consulting, software services, or technical pre-sales roles.

• Nice to have: experience leading architecture workshops and managing multidisciplinary teams.

🏝️ Benefits

• Opportunity to work on innovative AI projects.

• Collaborative and dynamic work environment.

• Professional development and growth opportunities.

• Competitive salary and benefits package.