
AI Architect
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Bulgaria, +3 more countries.
• Design and oversee the development of production-ready Generative AI solutions for clients from the discovery phase to implementation.
• Lead the architecture and delivery of Generative AI solutions.
• Provide guidance to development teams on appropriate tools, frameworks, and platforms.
• Convert business requirements into application, service, and target-state architectures.
• Take ownership of scalability, performance, latency, observability, security, and cost optimization for AI solutions.
• Lead technical design sessions and code reviews.
• Define adaptation strategies including prompting, RAG, fine-tuning, or distillation.
• Manage evaluation strategies involving golden datasets, offline and online evaluations, LLM-as-judge, and CI regression testing.
• Establish retrieval quality standards for chunking, hybrid search, reranking, query rewriting, and permission-aware retrieval.
• Define standards for AI security, privacy, Responsible AI, and governance controls.
• Oversee solution economics through model routing, caching, batching, and capacity planning.
• Support enterprise architecture standards and evaluate technology solutions.
• Supervise vendor developers while mentoring engineers and junior architects.
• Assist in business development by identifying and researching client opportunities.
• Enhance internal design and development practices while maintaining documentation.
• Foster internal relationships and enhance the firm's reputation.
• Over 5 years of experience in agile product delivery.
• Hands-on experience in designing and delivering large-scale production software solutions.
• Proven expertise in Generative AI solution architecture.
• Successfully delivered at least one Generative AI system to production and can articulate its architecture, failure modes, operating costs, and lessons learned.
• Bachelor's or Master's degree in Computer Science or Engineering, or equivalent practical experience.
• Strong hands-on experience with Generative AI architecture.
• Familiarity with large language models such as GPT-4, Gemini, and Llama.
• Experience with RAG, agent orchestration, and Microsoft Copilots.
• Proficient in vector search and retrieval engineering.
• Background in production AI agents.
• Experience with structured generation.
• Knowledge of cloud-native Azure architecture, including Azure Machine Learning and Azure AI services.
• Proficient in service-oriented, event-driven, and microservices architectures.
• Experience with relational and NoSQL data stores, such as Microsoft SQL Server and MongoDB.
• Familiarity with Docker and/or Kubernetes.
• Experience in DevOps and delivery practices, including CI/CD, automation, and environment management.
• Understanding of user-centered product practices.
• Experience with AI evaluation using golden datasets, LLM-as-judge, and prompt and model regression testing.
• Knowledge of LLMOps and observability.
• Understanding of model economics.
• Knowledge of AI security, including prompt injection, data exfiltration, jailbreak resistance, sandboxing, least-privilege identities, supply-chain risk, and the OWASP Top 10 for LLM Applications.
• Fluent in written and spoken English.
• Relevant Microsoft Azure certification is preferred.
• Familiarity with Model Context Protocol, model adaptation, multimodal AI, AI regulation and assurance frameworks, as well as consulting or professional-services experience are considered advantageous.
• Professional, positive, and team-oriented working environment.
• Gain professional experience in an international setting.
• Access to company training and excellent opportunities for professional and career growth.
• Engage in challenging and interesting projects.
• Additional medical insurance provided.
• Food vouchers worth EUR 102.26 per month.
• Sport card benefits.
• A fringe benefit package.
• Annual bonus opportunities.
• Flexibility to work from home.
• Centrally located office in Sofia.
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