Chief GenAI Solutions Architect

5 days ago

nashik, India beBeeSeniorAIEngineer Full time

Job DescriptionWe are seeking a skilled professional to lead our AI engineering efforts. As a key member of the team, you will be responsible for designing, developing, and deploying large-scale Generative AI and LLM-based systems.Your expertise in integrating and optimizing LLMs, designing knowledge and retrieval systems, backend engineering, data pipelines, infrastructure, and model evaluation will be crucial in driving our AI capabilities forward.AI System Design & Development: Architect, develop, and deploy large-scale Generative AI and LLM-based systems, including intelligent agents and automation workflows.LLM Integration & Optimization: Integrate and optimize LLMs for reasoning, summarization, and structured content generation. Apply prompt design, fine-tuning, and evaluation strategies to ensure reliable and domain-aware outputs.Knowledge & Retrieval Systems: Design and implement retrieval-augmented and context-aware AI pipelines, combining embeddings, semantic search, and hybrid retrieval methods.Backend Engineering: Build robust, scalable backend services and APIs using TypeScript and Python, including real-time communication and data streaming capabilities. Ensure high performance, fault tolerance, and clean integration between AI components and backend systems.Data Pipelines & Processing: Develop and manage pipelines to extract, process, and transform unstructured data into AI-ready formats.Infrastructure & Deployment: Design and maintain cloud-native, containerized, and event-driven architectures with Infrastructure-as-Code practices. Collaborate with DevOps teams to implement CI/CD, observability, and environment automation.Model Evaluation & Monitoring: Establish model evaluation metrics, continuous validation workflows, and performance dashboards to ensure production reliability and drift detection.Required Skills & QualificationsStrong proficiency in Python and TypeScript, with a solid background in backend or API development.Proven experience in LLM-based application design, Generative AI workflows, or AI agent systems.Understanding of retrieval-augmented generation (RAG) and semantic/embedding-based search principles.Experience building scalable cloud-native services, including event-driven or asynchronous architectures.Familiarity with infrastructure automation, container orchestration, and CI/CD pipelines.Exposure to MLOps principles — model lifecycle management, evaluation, and continuous improvement.Strong problem-solving, analytical, and architectural reasoning skills.Excellent communication, collaboration, and mentoring abilities.PREFERRED QUALIFICATIONS & EXPERIENCESBachelor's or Master's degree in Computer Science, Artificial Intelligence, or related disciplines.3+ years of professional experience in AI/ML software engineering, including 2+ years in Generative AI or LLM-based systems.Previous experience leading small engineering teams or driving architectural decisions is highly preferred.

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