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Strong global employer brand, metro location, and a somewhat generalist senior title raise candidate competition.
Role requires specialized generative AI, agent development, and Microsoft 365 integration skills, limiting cross-industry transferability.
Explicit 8+ years plus mandatory ML, Python, RAG, vector DB, and enterprise integration skills make filters stringent.
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Lead design, development, and deployment of enterprise-grade AI agents, copilots, conversational applications, and multi-agent systems integrated with Microsoft 365 technologies.
Develop and manage predictive machine learning models including building data pipelines and handling the full ML lifecycle from feature engineering to deployment and monitoring.
Build scalable, secure, and maintainable Python-based backend services and APIs, participate in architecture reviews, and support cloud deployment and CI/CD strategies.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related discipline.
8+ years of professional software development experience with strong proficiency in Python (including OOP, async programming, API development).
Experience developing Generative AI applications with modern LLM platforms and agent frameworks, including RAG architecture and vector databases.
Experience with Microsoft Azure and Microsoft 365 integration technologies; knowledge of machine learning tools like scikit-learn, pandas, NumPy, PyTorch or TensorFlow.
Experienced in delivering complex AI-powered applications in enterprise environments with integration across Microsoft 365 ecosystem.
Demonstrated ability to lead end-to-end ML model development and deployment with strong backend engineering skills using Python frameworks.
Comfortable working within enterprise governance, monitoring, security, and compliance frameworks while collaborating cross-functionally on software architecture decisions.