AI Architect

Job title: AI Architect

About the Role

Join Sngular as an AI Architect to design, develop, and scale Generative AI solutions across industries. You will combine a solid technical background with hands-on deployment experience to deliver production-ready language models and AI agents.

What You'll Do

• Design scalable AI architectures for production environments, including Generative AI and Machine Learning solutions.
• Define end-to-end AI solution patterns, from data ingestion to model deployment and monitoring.
• Architect and implement LLM-based systems, including RAG pipelines, agents, and orchestration frameworks.
• Define strategies for model lifecycle management, including training, deployment, monitoring, and retraining.
• Design data and feature pipelines for AI/ML systems in cloud environments.
• Ensure AI solutions are secure, scalable, observable, and cost-efficient.
• Collaborate with Data, Software, and Cloud teams to integrate AI capabilities into existing platforms.
• Define standards and best practices for AI governance, evaluation, and responsible AI usage.
• Evaluate emerging AI technologies and define their applicability in real business use cases.
• Support teams in designing prompt engineering strategies, evaluation frameworks, and AI experimentation approaches.
• Act as a technical reference for AI architecture decisions across projects.

What We're Looking For

• Machine Learning & Deep Learning Models – Experience using and integrating generative models such as GPT, Claude, Mistral, or LLaMA. Knowledge of advanced architectures like Transformers, CNNs, GANs.
• Advanced Prompting Techniques – Proficiency in prompt engineering (Chain-of-Thought, ReAct, Tree-of-Thought, etc.).
• AI Frameworks – Mastery of TensorFlow, PyTorch, or similar tools.
• Natural Language Processing (NLP) – Experience with embeddings (Word2Vec, FastText, BERT), vector search, and fine-tuning of pre-trained models.
• Generative AI Development – Experience orchestrating LLMs and complex conversational agents using tools like LangChain, LangGraph, DSPy, CrewAI, or Google ADK.
• Knowledge of conversational flow design, structured content generation, and agent-based reasoning systems.
• LLM Monitoring & Evaluation – Familiarity with observability tools and techniques for continuous model improvement in production, such as LangSmith, LangFuse, or similar tools for prompt tracking, debugging, and performance evaluation.
• Large-Scale Data Management – Experience with structured and unstructured databases, Data Lakes, and vector databases such as FAISS, Pinecone, Weaviate, ChromaDB.
• Model Optimization & Deployment – Knowledge of techniques like quantization and distillation, and efficient inference frameworks like vLLM, Triton, or ONNX Runtime. Familiarity with containerization and deployment in CUDA environments.
• Cloud & DevOps for AI – Experience with Azure, AWS, or GCP, using tools such as SageMaker, Vertex AI, Azure AI Foundry, and MLOps frameworks like Kubeflow, MLflow, Metaflow, BentoML.
• Integration & APIs – Development of APIs for LLMs, third-party tool integration, and pipeline implementation with FastAPI, Flask, or gRPC.
• Advanced Programming – Expert-level proficiency in Python, with experience building scalable and robust systems.
• Working day Full time

Nice to Have

• Ideal Computer Vision and perception capabilities.
• Advanced English Proficiency (C1).

Compensation & Benefits

• Budget for training
• Welcome pack
• Wellbeing pack
• 2 days for technical events
• December 24th and 31st
• Celebrate Your Birthday: Day Off
• Free unlimited access to UDEMY
• Option to choose your team (Windows/Mac)
• Career plan
• Tutti fruties every Friday
• Additional bonuses: recommendations, being a speaker and writing technical articles.
• Teambuilding Dynamics and Events

If you are interested in developing your career in our teams, join us to face the exciting challenges that await us.