ARTIFICIAL INTELLIGENCE SOLUTION ARCHITECT – GEA IT

Introduction to Role.
Join our Global Enterprise Architect (GEA) Team, where we support the global development of AstraZeneca AI products.
We work closely with teams across Business Technology Group (BTG – Business Unit) IT teams, Research and development, data governance teams, and SET Area (Line of Business) Data Offices (SEDO).
Our worldwide enterprise data architecture (EAIA) practice operates inside the GEA, providing vital designs, patterns, reference architecture and framework and services centred on the ingestion, extraction, processing, transformation, transport, storage, data visualization, data security and representation of knowledge.
Enterprise Information Architecture Accountabilities.
Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases.
You will align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders.
You will play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings.
You will also 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, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems.
Remain acquainted with upcoming regulations and map them to best practices.
AI architecture and pipeline planning.
Understand the workflow and pipeline architectures of ML and deep learning workloads.
An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must.
Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD.
Data science and advanced analytics, including knowledge of sophisticated analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks).
Thought leadership and collaborative mindset, to ensure that AI platforms deliver both business and technical requirements.
EDO/IT aligned Accountabilities.
Deliver and manage Information Architecture (IA), conceptual and logical models, for operational, master and data products including data models, information flows, master/reference data and metadata designs to meet one or more Business Capability requirements.
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, especially major/complex Business Capability areas.
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 through either delivering IA blueprint artefacts or assessing designs from AI Models /Solution Architects assigned to the project.
Partner with the Data Offices to ensure data governance processes are enabled in all IA designs and provide assurance evidence through standardized metrics.
Responsible for selecting or defining the correct architecture and patterns to fulfil traditional reporting (management information, business intelligence) and analytics, data science, digital, and operational business use cases.
Specify and manage work packages for FTE’s and flexible resources.
Demand Management and Recharging related to AI /IT projects/programmes, working in conjunction with the EIA Practice & Project Manager and EIA LT, alongside AI Project Managers, Business Partners etc Essential Skills/Experience.
Bachelor’s Degree or equivalent years of 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.
.
Amazon Bedrock, Amazon Q and Sagemaker).
Understand 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.
Desirable Skills/Experience.
Post-graduate degree in MIS, AI  Extensive experience in a senior AI /data Science and Data Engineering and AI architecture role with practical examples of designing and providing end-to-end and point data architecture designs or blueprints that have been delivered and implemented for substantial real-world use cases.
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.
.
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.
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.
In-person working gives us the platform we need to connect, work at pace and challenge perceptions.
That's why we work, on average, a minimum of three days per week from the office.
But that doesn't mean we're not flexible.
We balance the expectation of being in the office while respecting individual flexibility.
Join us in our unique and ambitious world.
Why AstraZeneca? As Architects at AstraZeneca, we connect the dots across the business to improve the agility and functionality of our processes to accelerate AstraZeneca to the next level.
There's so much potential to influence and drive change.
As champions of our Technology ecosystem, we make sure the rest of the business experiences the true benefits of our systems.
Uniting diverse areas and simplifying the way we work, changing mindsets and behaviours along the way.
Our reach goes beyond technology.
We are a collective of technical experts, bringing deep specialism and forward thinking to resolve complex ideas.
We are always proactively hunting for new insights and problem-solving to identify better ways of doing things.
Motivated by the opportunities to learn and grow, we move fast and drive forward.
Ready to take on this challenge? Apply now and join us in our mission to deliver life-changing medicines! AstraZeneca embraces diversity and equality of opportunity.
We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.
We believe that the more inclusive we are, the better our work will be.
We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.
We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.