We are looking for an experienced technology professional to lead the design and delivery of enterprise-grade AI solutions, with a solid focus on Generative AI (GenAI), agentic AI systems, multi-agent workflows, and LLM orchestration.
The ideal candidate will have strong hands-on expertise in Python, GenAI frameworks, cloud-native AI solutions, Retrieval-Augmented Generation (RAG), and AI workflow optimization, along with technical leadership and mentoring capabilities.
Key Responsibilities :
- Lead the end-to-end design, development, and deployment of scalable GenAI and agentic AI solutions.
- Architect multi-agent workflows using LangChain, A2A protocols, and custom orchestration frameworks.
- Design and optimize prompt architectures, context strategies, and hybrid RAG pipelines.
- Integrate AI services with enterprise platforms such as Azure AI Foundry, Databricks, and core business systems.
- Establish engineering best practices across code reviews, architecture design, testing, deployment, and CI/CD.
- Collaborate with stakeholders to translate business requirements into scalable AI solutions.