Senior AI Model Architect

15 hours ago

salem, India beBeeModeler Full time

AI Model Architect & Voice Agent EngineerWe are seeking an exceptional AI model architect and voice agent engineer to drive the design, development, and deployment of AI models that power our intelligent chatbots, voice agent, and telephony services.ResponsibilitiesAI Model Architecture: Lead the end-to-end development of large language model (LLM) and retrieval augmented generation (RAG)-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions.Prompt Engineering & Voice Agent Dialogue: Craft, iterate, and optimize prompts—and design voice-agent dialogue flows—to maximize response relevance, reduce latency, and ensure clinical safety across text and voice channels.Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture.Performance Monitoring & Optimization: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.Innovation & R&D: Stay up-to-date with the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap.Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance, and compliance with healthcare standards.Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews.Requirements:Strong understanding of AI/ML concepts and experience with LLMs and RAG-based systems.Proficiency in programming languages such as Python, Java, or C++.Familiarity with cloud-based infrastructure and Azure services.Excellent communication and collaboration skills.Ability to work in a fast-paced environment and prioritize multiple tasks.Benefits:Opportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Professional growth and development opportunities.Competitive salary and benefits package.

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