Director, AI Engineering and Enablement
Core
Lead the architecture, design, and implementation of scalable Enterprise AI applications and Gen AI solutions for a global pharmaceutical organization.
Role type
Director, AI Engineering and Enablement
Builds
End-to-end GenAI applications, autonomous agents, and cloud-native infrastructure for enterprise use.
Domain
Pharmaceutical / Enterprise AI / Cloud Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise AI architecture, Gen AI solution development, Cloud platform strategy (AWS/Azure/GCP), Python, React, Team leadership, CI/CD, Code review, Agentic AI frameworks (LangChain/LangGraph), RESTful APIs, Microservices, Cloud cost optimization.
Preferred skills
Advanced Gen AI frameworks, Autonomous agent reasoning, Emerging AI techniques evaluation.
Technologies
Python, React, AWS, Azure, GCP, LangChain, LangGraph, RESTful APIs, Containers, CI/CD tools.
Responsibilities
Architect and build end-to-end GenAI applications; Define solution architectures for cloud scalability; Develop core features and infrastructure; Manage and mentor engineering teams; Research and implement Agentic AI solutions; Deploy and monitor AI applications using cloud-native infrastructure.
Seniority
Director, hands-on technical leadership & team management