Jobs → Data & Analytics → Solution Architect – AI Data & LLM Solutions

About the Role We are seeking a Solution Architect specializing in AI Data & LLM Solutions to join our team at LovasIT. This role involves designing and implementing scalable AI data pipelines, developing agentic systems, and applying expertise in LLM training and fine-tuning to support advanced AI initiatives. Key Responsibilities • Partner with CTOs, VPs of Engineering, and AI research leaders to understand business and technical challenges • Translate client objectives into effective AI data strategies, model-training approaches, and evaluation solutions • Design and build scalable AI data pipelines, data-labeling components, quality controls, and automated workflows • Develop agentic systems, RAG applications, and synthetic data-generation solutions • Apply expertise in LLM training, fine-tuning, SFT, and reinforcement learning to support advanced AI initiatives • Lead technical discovery, solution architecture, experimentation, and end-to-end implementation • Validate data quality, pipeline performance, scalability, and production readiness • Establish reusable engineering standards, best practices, and architectural guidelines • Mentor Solution Engineers and Technical Consultants across multiple client engagements Requirements • 7–10 years of experience in AI data engineering and solution architecture • Hands-on experience training or fine-tuning LLMs • Strong practical knowledge of SFT and Reinforcement Learning • Experience building production-grade AI applications and agentic systems • Experience leading technical teams and mentoring engineers • Background in applied ML, LLM engineering, or strategy consulting • Experience with data-centric AI, crowdsourcing, and AI evaluation • MSc/PhD in AI, Computer Science, or a related field is an advantage • Excellent executive communication and stakeholder management skills