highly skilled AI / GenAI Architect to lead the design, development, and end-to-end operationalization of our AI infrastructure. In this role, you will be the driving force behind our agent-based architecture, responsible not only for building cutting-edge GenAI agents but also for managing the "run"—ensuring robust infrastructure, seamless production maintenance, and continuous optimization. If you excel at bridging the gap between creative AI research and reliable, scalable enterprise operations (LLMOps/MLOps), this role is for you.
10+ years of experience in Software/System Architecture or Cloud Infrastructure.
3+ years of specific, hands-on experience deploying Machine Learning or Generative AI models into production.
Proven track record of managing the operational "run" of live software/AI systems.

Responsibilities:
Architecture & Agent Development
System Design: Design, develop, and scale an enterprise-grade AI and agent-based architecture.
Agent Creation: Build, test,



and deploy current autonomous and semi-autonomous AI agents tailored to specific business use cases (e.g., using LangChain, LlamaIndex, AutoGen, CrewAI).
Infrastructure & "Run" Management (LLMOps)
Infrastructure Provisioning: Provision, configure, and maintain the underlying cloud and AI infrastructure required to support LLM inference, vector storage, and agent orchestration.
Production Maintenance: Take full ownership of the "run" phase of AI implementation. Ensure production agents are highly available, scalable, and secure.
Strategy & Governance: Develop and implement a comprehensive strategy for the lifecycle management, versioning, and continuous maintenance of AI modules and agents in a live production workplace.
CI/CD Pipeline: Build and manage automated deployment pipelines for AI models and agent updates to ensure zero-downtime deployments.
Monitoring, Evaluation & Refinement
Performance Tracking: Implement robust monitoring systems to track the health, laten

📌 Ai / Genai Architect Raigad
🏢 AVISOFT
📍 Raigad