GENAI SOLUTION ARCHITECT @ AMPCUSTECH
Ampcustech is currently seeking a highly skilled GenAI Solution Architect to join our innovative team in India on a hybrid basis. The ideal candidate will be responsible for designing and implementing scalable, enterprise-grade AI-driven solutions utilizing Large Language Models (LLMs) and various cloud platforms. You will play a pivotal role in bridging the gap between cutting-edge AI research and production-ready applications, working closely with both engineering and product management teams to deliver high-impact results. The role involves building diverse use cases including advanced document processing, automated summarization, intelligent Q&A systems, AI copilots, and workflow automation. You will define technical reference architectures for LLMs, vector stores, and orchestration layers, ensuring that all GenAI services are seamlessly integrated into existing data platforms. Furthermore, you will lead efforts in prompt engineering and optimization while maintaining a strong focus on security, privacy, and responsible AI ethics. This is an exciting opportunity to drive innovation in the healthcare domain and beyond.
Key Requirements
4–7 years of experience in software, data, or cloud architecture roles.
Hands-on experience with Generative AI and LLM-based solutions.
Proficiency with Azure OpenAI, OpenAI APIs, and LangChain.
Experience with Semantic Kernel or similar orchestration frameworks.
Strong understanding of REST APIs and cloud-based architectures.
Ability to collaborate effectively with engineering and product teams.
Strong communication skills to explain AI concepts to non-technical stakeholders.
Proficiency in prompt engineering, evaluation, and optimization techniques.
Experience defining reference architectures for vector stores and orchestration layers.
Commitment to ensuring security, privacy, and responsible AI practices.