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Director Agentic AI

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Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking a Director of Data Science - Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.

Job Responsibility:

  • Develop and execute a multi-year data-science strategy and roadmap
  • Lead, mentor and grow a high-performing staff of data scientists and ML engineers
  • Own the end-to-end delivery of advanced analytics and machine-learning solutions
  • Prioritise and manage a balanced portfolio of initiatives
  • Provide hands-on guidance on algorithm selection and experimentation
  • Establish and enforce best practices for code quality, version control, MLOps pipelines, model governance and responsible-AI safeguards
  • Partner with Data Engineering, Product, IT Security and Business stakeholders to integrate models into production systems
  • Manage cloud and on-prem analytics environments
  • Champion a data-driven culture by communicating insights and model performance to VP/SVP-level leaders
  • Track emerging techniques, regulatory trends and tooling in AI/ML

Requirements:

  • 10+ years in advanced analytics with 4+ years managing high-performing data-science or ML teams
  • Deep command of classical ML, time-series, deep-learning (CNNs, transformers) and causal-inference techniques
  • Expert Python and strong SQL
  • Hands-on experience deploying models via modern MLOps stacks (MLflow, Kubeflow, SageMaker, Vertex AI or Azure ML)
  • Proven ability to translate complex analytics into concise, outcome-oriented narratives
  • Working knowledge of AWS, Azure or GCP
  • Familiarity with privacy, security and AI-governance frameworks (GDPR, HIPAA, GxP, EU AI Act)
  • Master’s degree with 15 - 17 + years of experience in Computer Science, IT or related field OR Bachelor’s degree with 18 - 20 + years of experience in Computer Science, IT or related field
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation
  • Ability to manage multiple priorities successfully
  • Team-oriented
  • Ability to learn quickly, be organized and detail oriented
  • Strong presentation and public speaking skills

Nice to have:

  • Experience in Biotechnology or pharma industry
  • Published thought-leadership or conference talks on enterprise GenAI adoption
  • Master’s degree in Computer Science and or Data Science
  • Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery
  • Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.)

Additional Information:

Job Posted:
February 14, 2026

Work Type:
On-site work
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