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Enterprise Architect AI & Data Science – Commercial
| Company | AstraZeneca |
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| Location | Gaithersburg, MD, USA |
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| Salary | $152353.6 – $228530.4 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s Degree
- A minimum of 5 years of experience in enterprise architecture and 10 years of experience in the IT industry
- Experience in a Data Science or AI engineering or related field
- Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application
- Experience in the use of conceptual and logical data modelling technologies
- Experience in defining and working with information and data regulatory governances
- The role holder will possess a blend of data/information architecture, analysis, and engineering skills
- Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Q and Sagemaker)
- Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments
- Understanding the appropriate AI structure and technology based on business use case and completely familiar with AI lifecycles
- Manage small group of talent AI Architect and drive AI strategy and direction for Enterprise Landscape.
Responsibilities
- Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases
- Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders
- Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings
- Audit AI tools and practices across data, models, and software engineering with a focus on continuous improvement
- Work closely with security and risk leaders to foresee and overturn risks, ensuring ethical AI implementation
- AI architecture and pipeline planning
- Software engineering and DevOps principles, including knowledge of DevOps workflows and tools
- Thought leadership to help the organization adopt an AI-driven mindset
- Collaborative mindset to ensure that AI platforms deliver both business and technical requirements
- Deliver and manage Information Architecture (IA), conceptual and logical models, for operational, master and data products
- Work with business leaders to evolve IA designs to support business strategy
- Own the IA designs of one or more Business capability level IA designs
- Take on accountability for the IA of major change programs impacting whole Business capability areas
- Assure IT change projects in that Business Capability are aligned to IA
- Partner with the Data Offices to ensure data governance processes are enabled in all IA designs
- Responsible for selecting or defining the correct architecture and patterns to fulfil traditional reporting and analytics use cases.
Preferred Qualifications
- Post-graduate degree in MIS, AI
- Extensive experience in a senior AI /data Science and Data Engineering and AI architecture role
- Experience of AI and Data Governance frameworks and their application in a commercial organisation
- Experience in Agile AI definition scrums
- Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools
- Hands on experience in AI model, building LLM and LVM working closely with different data type and generating clear accuracy models
- Experience of working in the AI Pharmaceutical industry.
