Director, AI/ML
AstraZeneca (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 60–90 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Define and drive technical vision and architecture for traditional ML, Generative AI, and agentic AI aligned with enterprise and commercial priorities.
- Provide hands-on technical leadership on advanced AI systems including design, review, and problem resolution without direct reports.
- Lead design and deployment of multi-agent AI systems, set evaluation standards, and ensure production observability and governance compliance.
Minimum Requirements
- Bachelor’s degree or equivalent in computer science, mathematics, statistics, engineering, physics, computational sciences, or related field.
- Typically 12+ years in data science and ML solutions with 2+ years recent hands-on experience in production LLM and agentic AI applications.
- Mandatory technical skills include Generative AI and LLMs (prompt engineering, fine-tuning, optimization), agentic AI system design, evaluation and observability methods, classical and deep learning using PyTorch or TensorFlow, expert Python, SQL, and AWS MLOps tools.
- Work Experience Required: Typically 12+ years with demonstrated leadership setting technical direction for multi-functional AI delivery by influence.
Ideal Candidate Profile
- Experienced senior AI/ML technologist comfortable influencing cross-functional teams and driving strategy in a global commercial or healthcare context.
- Demonstrated ability to design and operationalize scalable, trustable AI systems with expertise in Generative AI, LLMs, and agentic AI frameworks.
- Skilled communicator able to translate complex AI concepts for non-technical senior stakeholders and mentor senior AI talent in a regulated environment.