JD

Role : AI Senior Architect

Total Experience : 13 to 20 Years

Location : Pune, Chennai, Hyderabad, Kolkata, Delhi, Bangalore

Notice Period : upto 3 months

Mode : Work from Office

- Proven experience in architecting and deploying AI/Gen AI systems in production environments.
- Ability to design scalable, robust, secure, and high-performance solutions with a focus on Gen AI, Large Language Models (LLMs), Agentic AI, and advanced AI technologies.
- Experience designing and architecting Agentic AI systems, including autonomous and semi-autonomous agents leveraging LLMs, Model Context Protocol (MCP), tools, workflows, memory, and orchestration frameworks.
- Solid expertise in designing enterprise-scale AI, ML, and Gen AI architectures across Azure, AWS, and Google Cloud platforms.
- Expertise in designing Gen AI solutions for enterprise use cases, including RAG, multi-agent systems, knowledge assistants, AI automation, and intelligent business workflows.
- Strong understanding of microservices, APIs, event-driven architectures,



and integration with enterprise applications and data platforms.
- Strong hands-on experience with MLOps and GenAIOps practices including CI/CD, model versioning, experiment tracking, automated retraining, deployment, rollback strategies, prompt lifecycle management, and model evaluation.
- Experience implementing AI workload operations covering DevOps, DataOps, MLOps, GenAIOps, infrastructure automation, observability, monitoring, and operational governance.
- Experience in AI monitoring, model performance management, drift detection, model retraining, capacity planning, incident management, and operational support.
- Strong communication skills and the ability to collaborate effectively with architects, developers, data scientists, platform engineers, CoEs, and business stakeholders.
- Ability to mentor engineering teams and provide technical leadership throughout the solution lifecycle.

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