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описание
We are seeking an experienced AI Solution Architect to be responsible for designing and implementing robust, scalable, and reliable AI solutions for TOP 500 Fortune clients. This includes generative AI systems, autonomous AI agents, and operator-based solutions that leverage cutting-edge techniques and frameworks (e.g., LangChain, Flowise, RAGflow). The role requires expertise in data architecture, machine learning, cloud services, and software engineering — alongside deep knowledge of how to ensure accurate, trustworthy, and high-quality AI outputs.
задачи
Plan, architect, and deploy AI systems, including Generative AI models and AI agents
Integrate AI solutions into existing business and data infrastructures
Evaluate and adopt suitable RAG frameworks such as LangChain, Flowise, and RAGflow
Ensure frameworks and technologies align with enterprise goals and compliance requirements
Design robust data pipelines for ingestion, transformation, and indexing
Implement best practices for vector databases, semantic search, and knowledge-base indexing
Devise prompt-engineering and response-validation mechanisms for reliable AI outputs
Incorporate testing, quality control, and RLHF techniques where applicable
Architect agent-based solutions that autonomously interact with systems and make informed decisions
Integrate operator-based flows that augment human workflows
Ensure solutions are scalable, secure, and manageable using MLOps/DevOps best practices
Uphold responsible AI principles, including transparency, fairness, privacy, and ethical data usage
Communicate AI strategies and solution designs to technical and non-technical stakeholders
Collaborate across multidisciplinary teams to align AI initiatives with organizational objectives
требования
8+ Years of experience in software development and solution architecture, with a proven record of delivering enterprise solutions
Deep understanding of Generative AI and large language models (LLMs)
Practical experience in prompt engineering and fine-tuning techniques
Hands-on experience with RAG frameworks: LangChain, Flowise, RAGflow
Expertise in deploying agentic and operator-based solutions using autonomous AI agents
Familiarity with indexing and semantic search technologies such as Pinecone
Expertise in building robust knowledge-base indexes for accurate information retrieval
Skills in creating and managing AI agents for automation, cognitive architectures, and autonomous operations
Understanding of reinforcement learning and cognitive agent architectures
Knowledge of AI ethics, fairness, transparency, accountability, and responsible AI practices
Experience implementing governance frameworks and ethical guidelines
Experience integrating AI into existing operational workflows
Familiarity with FastAPI, Kubernetes, and DevSecOps/MLOps practices
Knowledge of semantic search, cognitive architectures, and reinforcement learning
Continuous learning mindset and proactive exploration of emerging AI technologies
Excellent stakeholder management and communication skills
Ability to translate complex AI concepts into actionable insights for technical and non-technical audiences
Excellent written and verbal communication skills in English (B2+ level)
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