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Job Description

Job Title :Platform Engineers – Support & Development Specialist


Career Level - C1


Introduction to role

As part of AstraZeneca's Employee Experience improvement focus, Enabling Units are pioneering the development and deployment of the Universal Services Experience platform (USE) empowering employees with the capacity to improve self-service and self-support by leveraging IT, HR and Finance support knowledge globally, improving employee efficiency and effectiveness. We are looking for a Senior Platform Engineer – USE Platforms to join our dynamic CoE team providing platform configuration, technical support and maintenance of the USE platform and related applications/integrations.


The core component of this role is to provide ongoing daily technical support, development and customisation of the Universal Services Experience (USE) platform, grounding the system in AstraZeneca business and service information. The role involves the ongoing development and maintenance of the MoveWorks generative AI Copilot, the associated Large Language Models, Portals, Performance Analytics and orchestrated process automation. This role will also support the platform’s integration profile, leveraging AstraZeneca’s strategic enterprise platform integration standards and MoveWorks connectors.


Key Accountabilities:
  • Serve as an USE platform internal support engineer providing 2nd Line support  (technical queries, releases and changes relating to the USE Enterprise Platform) complying with AstraZeneca standards, processes and change management procedures.


  • Provide support to ensure optimal performance and stability of USE platform and its integrations with the downstream Enterprise Platforms and/or data sources. 


  • Have an understanding and work to ensure conformance with AstraZeneca’s AI Governance and ethical use policies.


  • Collaboration with stakeholders and data stewards to access key AstraZeneca knowledge and data sources for use in training AstraZeneca specific Large Language Models.


  • Support and administer granular access management through role based access control allowing the AstraZeneca or trusted partner the right access to the right sources of knowledge with a short time to value.


  • Take ownership of incidents, problems and changes through to delivery, resolution or escalation as appropriate


  • Experience in providing technical support, impact assessment and backout planning of enterprise platform changes.


  • Configure the USE Platform, maintaining optimal performance, security and license management


  • Provide hands on technical support for assessments / POCs for new USE platform initiatives and features


  • Take part in delivery activities, instigating Design / Build / Test / Deploy for regular releases and key USE platform initiatives. 


  • Understand e2e MoveWorks’ conversational AI ecosystem providing technical support in configurating and customising AZ USE platform as part of change or release management.


  • Provide the USE Platform and integration technical support for incident/problem resolutions  and changes working on the development, implementation, maintenance and improvement the USE platform. 


  • Support consistency in alignment to AZ ECS/ETS and Enabling Units’ standards and processes. 


  • Develop/Maintain an understanding of MoveWorks’ “Copilot for the Enterprise”, “Service Management For the Enterprise” and “Creator Studio”.


  • Support System Operations in the monitoring of e2e system health, performance, and usage metrics, recommending proactive measures to address potential technical issues.


  • Maintain comprehensive documentation of system configurations, integrations, changes, and procedures.


Continuous Improvement and Innovation 
  • Support continuous improvement opportunities within platform and product-level backlogs. 


  • Support the USE Platform Owner and Senior Platform Engineer in the ongoing management of technical change, enhancing the platform in line with the USE Platform Roadmap.


  • Provide hands on technical support of PoCs and Hackathons to prove out new insights / designs / technologies. 


Essential skills & experience 
  • 2 – 4 years proven hands on experience in IT product support and systems integration


  • An understanding of AI and Machine Learning / Deep Learning Principles


  • Hands on experience of training and fine tuning generative models, the deployment and support of supervised, unsupervised and transfer AI learning techniques.


  • Awareness AWS and MS Azure Cloud Services and a broad understanding of their architectures/services


  • Hands on support experience of API integrations, RESTful services, MuleSoft and web technologies.


  • Have previous hands on experience of building, deploying and supporting AI solutions as APIs for use in applications.


  • Experienced in data engineering practices. Cleansing, deduplication, evaluation, augmentation and modelling of data in preparation for Analytics and Generative AI/ML


  • Should be able to work collaboratively and efficiently with multiple teams in multiple geographies.


  • Good problem-solving skills and the ability to work under pressure, resolving user queries, providing training sessions, and creating support materials..


  • Good written and verbal communications skills 


  • Experience of working within a quality and regulatory environment, and application of policies, procedures and guidelines.


  • A proven understanding of cybersecurity principles as they apply to AI applications, implementing secure coding practices and ensuring data integrity


  • Demonstrate awareness of the challenges of AI/ML in Bias, Hallucinations and data privacy.


Desirable Skills / Good to Have
  • Batchelors degree in Computer Science, Mathematics, Statistics, or a related field


  • Experience in deploying and supporting a market leading generative AI Copilot involving Large Language Model training and management in global enterprise organisations


  • Programming skills in languages such as JavaScript, Python, TensorFlow, PyTorch, ScikitLearn or similar.


  • Relevant foundational certifications in MoveWorks, ServiceNow and ITIL are a plus.


  •  2- 3 years proven hands on experience in generative AI and Machine Learning / Deep Learning system deployment and support including the training and fine tuning generative models.


  • Knowledge of Lean & Agile Ways of Working


  • Experience / Awareness of Agile Software Development techniques and processes.


  • Understanding of microservice architecture, design patterns.


  • Proficient in communicating with the business stakeholders


Working Conditions:

Full-time position with occasional on-call support as required.


Flexible Hybrid Working with mandatory three days per week Office-based.


Occasional travel may be required for training or conferences.


WHY JOIN US?

We’re a network of high-reaching self-starters who contribute to something far bigger. We enable AstraZeneca to perform at its peak by delivering premier technology and data solutions. We’re not     afraid to take ownership and run with it. Empowered with unrivalled freedom. Put simply, it’s because we make a significant impact. Everything we do matters


Date Posted


20-Dec-2024

Closing Date


02-Jan-2025

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.


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