Job Description : Gen AI Architect
We are seeking an experienced Gen AI Architect to lead the design, development, and deployment of next-generation AI-driven solutions across our product ecosystem. This role is ideal for someone who combines deep technical expertise with strong architectural thinking, hands-on development capability, and a passion for building scalable, production-grade AI systems. You will work closely with engineering, product, and cloud teams to translate business needs into robust Gen AI architectures leveraging modern frameworks and Azure services.
Responsibilities :
- Architect, design, and implement end-to-end Gen AI solutions using LLMs, vector databases, and agentic workflows.
- Build intelligent applications using .NET, Azure OpenAI, LangChain, and Agentic AI frameworks.
- Develop reusable AI components, prompt templates, pipelines, and orchestration layers.
- Design secure, scalable, and compliant AI architectures for enterprise environments.
- Integrate LLM-powered features into existing products, including reasoning agents, RAG systems, copilots, and automation flows.
- Build and manage cloud-native AI services using Azure Functions, Azure Cognitive Search, and related Azure services.
- Lead deployment, monitoring, and performance optimization of AI models in production.
- Collaborate with cross-functional teams to evaluate use cases, refine requirements, and ensure successful implementation.
- Establish best practices for AI development, MLOps, DevOps workflows, and governance.
- Stay ahead of Gen AI advancements and drive adoption of emerging technologies.
Requirements :
6- 12 years of experience in software architecture or full-stack engineering, with at least 2- 4 years in Gen AI / LLM-based systems.Strong proficiency in .NET and modern backend development.Hands-on experience with LLMs, LangChain, Agentic AI frameworks, and vector stores.Deep experience with Azure OpenAI, Azure Functions, Azure DevOps, and cloud deployments.Solid understanding of AI security, scaling patterns, prompt engineering, and evaluation techniques.Proven ability to design high-availability, production-grade AI architectures.Excellent communication, problem-solving, and technical leadership skills.(ref : hirist.tech)