Lead the design and deployment of NLP, LLM, and RAG-powered intelligent systems.
Define and build MCP frameworks and A2A orchestration logic.
Collaborate with cross-functional teams to translate complex enterprise workflows into modular, AI-driven processes.
Drive engineering best practices in performance, security, and reliability across the AI stack.
Prototype and productionize AI/ML models, ensuring scalability and maintainability.
Work closely with product managers and researchers to align technical execution with customer and business needs.
Mentor and guide engineering teams through design reviews, code reviews, and technical strategy sessions.
Contribute to the evolution of our AI platform with forward-looking architecture and technology selection.
Champion secure and ethical use of AI in enterprise applications.
Explore new advancements in Agentic AI and share insights with the broader team to influence roadmap and innovation.

Requirements

Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
15+ years of software engineering experience, including significant time architecting enterprise-scale platforms.
Deep expertise in .NET (C#) for large-scale, high-performance systems.
Strong proficiency in Python, especially for AI/ML development and integration.
Hands-on experience with NLP, LLM ecosystems, and Retrieval-Augmented Generation (RAG) techniques.
Familiarity with building and deploying MCP and A2A orchestration frameworks.
Experience with vector search, embeddings, and document retrieval pipelines.
Proficient in cloud-native environments, preferably Azure, along with Docker and Kubernetes.
Strong communication skills with a track record of cross-functional collaboration and leadership.
Demonstrated ability to mentor engineering teams and lead technical direction.
A passion for pushing the boundaries of AI, with an eye for translating research into real-world impact.
Comfortable operating in a fast-paced, innovation-driven environment.

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