Introduction to Role
The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed team will spearhead the design, creation, and operational excellence of our entire Generative AI, agentic systems, and LLM computational AWS ecosystem to catalyze and accelerate science led innovations.
This team is responsible and accountable for the design, implementation, deployment, health and performance of all algorithms, models, Generative AI operations (GenAI Ops, AIOps, and LLMOps) and Data Science Platform. We manage Generative AI and broader cloud resources, automating operations through infrastructure-as-code and CI/CD pipelines, and ensure best-in-class operations – striving to push even beyond mere compliance with industry standards such as Good Clinical Practices and Good Machine Learning Practice (GMLP).
As the Generative AI Platform Architect on our team, you will architect and oversee the global cloud ML/AI infrastructure that underpins our entire ML/AI value proposition. You will design, implement, and manage scalable cloud solutions using AWS services while establishing ML/AI governance frameworks, automating infrastructure with tools like AWS CDK and Projen, and conducting cost-benefit analyses of foundation models to drive strategic decisions across the organization.
This position requires a deep understanding of cloud-native Generative AI and LLMOps methodologies, AWS infrastructure, State-of-the-art (SOTA) Foundation Models, prompt engineering pipelines, retrieval-augmented generation (RAG) architectures, and AWS GenAI Services (Bedrock, SageMaker for LLMs), and the unique demands of regulated industries, making it a cornerstone of our success in delivering impactful solutions to the pharmaceutical industry.
Accountabilities
Operational Excellence
Lead by example in creating high-performance, mission-focused and interdisciplinary teams/culture founded on trust, mutual respect, growth mindsets, and an obsession for building extraordinary products with extraordinary people.
Drive the creation of proactive capability and process enhancements that ensures enduring value creation and analytic compounding interest.
Design and implement resilient cloud Generative AI and agentic system operational capabilities to maximize our system A-bilities (Learnability, Flexibility, Extendibility, Interoperability, Scalability).
Drive precision and systemic cost efficiency, optimized system performance, and risk mitigation with a data-driven strategy, comprehensive analytics, and predictive capabilities at the tree-and-forest level of our GenAI agent systems, workloads and processes.
Generative AI Cloud Operations and Engineering
Architect and implement scalable AWS agentic GenAI cloud infrastructure in a multi-tenant SaaS environment.
Deep understanding of challenges in deploying Generative AI applications and agents.
Closely follow frontier developments in Generative AI and GenAI tooling, techniques, and technologies.
Establish governance frameworks for agentic GenAI infrastructure management and ensure compliance with industry best practices.
Ensure principled and methodical validation pathways and a Well Architected Framework for Embryonic Research (WAFER) similar to and building on AWS’s Well Architected Framework (WAF) for all early stage product and operational GenAI PoC’s across the organization.
Oversee GenAI-related Kubernetes (k8s) cluster management and provide expertise on alternative GenAI workflow orchestration options such as Argo vs Kubeflow vs ECS vs AgentCore, and GenAI data pipeline creation, management and governance with tools like Airflow or others.
Employ tools like AWS CDK (TypeScript), Projen, and Argo CD to automate infrastructure deployment and management.
Help set the strategy and manage the tactical balance between framework and platform experimentation and democratization with standardization and centralized management and governance
Conduct cost-benefit analyses and formal processes for selection and utilization of foundation models, evaluating their architectures, performance, and costs.
Work with multiple teams to ensure that the platform meets organizational needs and scales effectively.
Personal Attributes
Customer-obsessed and passionate about building products that solve real-world problems.
Highly organized and detail-oriented, with the ability to manage multiple initiatives and deadlines.
Collaborative and inclusive, fostering a positive team culture where creativity and innovation thrive.
Essential Skills/Experience
HS Diploma and 8 years of experience in Engineering/IT solutions OR BA/BS Degree and 6 years of experience or equivalent capabilities.
Minimum of 10 years in cloud infrastructure design and management roles.
Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture.
Expert in Typescript, AWS CDK, Projen, and Argo CD and other Cloud Infrastructure CI/CD Tools
Strong familiarity with Python
Extensive experience in managing Kubernetes clusters and/or ECS for GenAI workflows.
Solid understanding of foundation models and their applications in GenAI solutions.
Strong background in AWS DevOps practices and cloud architecture.
Deep knowledge of AWS services (Bedrock, Sagemaker, EC2, S3, RDS, Lambda, etc) and hands-on design and implementation of cloud systems (microservices architecture, API design, and database management (SQL/NoSQL)
Experience with monitoring and optimizing cloud infrastructure for scalability and cost-efficiency.
Ability to collaborate effectively with engineering, design, product, science and security teams.
Strong written and verbal communication skills for reporting and documentation.
Demonstrated ability to manage large-scale, complex projects across an organization.
Proven experience in conducting performance and cost analyses of AWS infrastructure and ML/AI models.
Where can I find out more?
Learn more about Evinova www.evinova.com
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
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Why Evinova?
Evinova is a global health tech business, separate company part of the AstraZeneca group. Together, we can accelerate the delivery of life-changing medicines, improve the design and delivery of clinical trials for better patient experiences and outcomes, and think more holistically about patient care before, during, and after treatment. We know that regulators, healthcare professionals, and care teams at clinical trial sites do not want a fragmented approach. They do not want a future where every pharmaceutical company provides its own, different digital solutions. They want solutions that work across the sector, simplify their workload, and benefit patients broadly. By bringing our solutions to the wider life sciences community, we can help build more unified approaches to how we all develop and deploy digital technologies, better serving our teams, physicians, and ultimately patients. Evinova represents a unique opportunity to deliver meaningful outcomes with digital and AI to serve the wider healthcare community and create new standards for the sector. Join us on our journey of building a new kind of health tech business to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting-edge methods, and bringing unexpected teams together. Interested? Come and join our journey.
Total Rewards
The annual base pay for this position ranges from $167,772.00 to $251,658.00. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an “at-will position” and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
AstraZeneca is an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment, assessment and selection process and may be requested by emailing AZCHumanResources@astrazeneca.com.
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Closing Date
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
