Job Summary
Experienced AI/ML professional with 13+ years designing and delivering scalable, enterprise-grade AI solutions. Expertise includes Generative AI, LLMs, RAG pipelines, multi-agent systems, and cloud-based AI architectures that drive operational efficiency and innovation.
Responsibilities
- Design and deliver enterprise-scale intelligent AI solutions using Generative AI, LLMs, RAG pipelines, and multi-agent systems to meet complex business needs
- Translate business requirements into robust AI architectures deployed on cloud platforms such as AWS, Azure, and GCP
- Develop agentic AI systems, real-time inference pipelines, and intelligent automation frameworks to enhance operational efficiency and decision-making
- Implement LLMOps/MLOps practices to ensure AI model reliability, scalability, and compliance with model governance and Responsible AI standards
- Integrate AI solutions with enterprise systems including ERP and CRM, utilizing advanced data engineering techniques on structured and unstructured data
- Lead cross-functional teams to deliver end-to-end AI solutions and foster innovation through emerging AI technologies
- Utilize tools and platforms such as LangChain, LlamaIndex, Databricks, PySpark, Kubernetes, and Terraform to build and maintain production-grade AI applications
Key Skills Generative AI, LLMs (GPT, Claude, LLaMA), RAG pipelines, Multi-Agent Systems, LangChain, LlamaIndex, AWS, Azure, GCP, Databricks, PySpark, Kubernetes, Terraform, MLOps/LLMOps, Model Governance, Responsible AI
