ML/AI Operations Architect â Evinova
ML/AI Operations Architect â Evinova
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Job Description
Job Title: ML/AI Operations Architect Evinova
Location: Gaithersburg MD
At AstraZeneca we pride ourselves on crafting a collaborative culture that champions knowledge-sharing ambitious thinking and innovation ultimately providing employees with the opportunity to work across teams functions and even the globe.
Recognizing the importance of individualized flexibility our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind providing space where teams can come together to strategize brainstorm and connect on key projects.
Are you ready to be part of the future of healthcare Can you think big be bold and harness the power of digital and AI to tackle longstanding life sciences challenges Then Evinova a global health tech business might be for you!
Transform patients lives through technology data and innovative ways of working. Youre disruptive decisive and transformative. Someone excited to use technology to improve patients health. Were building a new Health-tech business Evinova a fully-owned subsidiary of AstraZeneca Group.
Evinova delivers market-leading digital health solutions that are science-based evidence-led and human experience-driven. Thoughtful risks and quick decisions come together to accelerate innovation across the life sciences sector. Be part of a diverse team that pushes the boundaries of science by digitally empowering a deeper understanding of the patients were helping. Launch pioneering digital solutions that improve the patients experience and deliver better health outcomes. Together we have the opportunity to combine deep scientific expertise with digital and artificial intelligence to serve the wider healthcare community and create new standards across the sector.
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 ML/AI data and 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 ML/AI operations (MLOps AIOps and LLMOps) and Data Science Platform. We manage ML/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 (GCP) and Good Machine Learning Practice (GMLP).
As the ML/AI Platform Architect on our team you will architect and oversee the global cloud ML/AI infrastructure that underpins our entire ML/AI value prosposition. 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 ML/AI Ops methodologies and technologies AWS infrastructure State-of-the-art (SOTA) Foundation Models and AWS GenAI Services 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 mentalities 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 ML/AI operational capabilities to improve our system Abilities (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 ML/AI systems workloads and processes.
ML/AI Cloud Operations and Engineering
- Architect and implement scalable AWS ML/AI cloud infrastructure in a multi-tenant SaaS environment.
- Establish governance frameworks for ML/AI infrastructure management and ensure compliance with industry standard processes.
- Ensure principled and methodical validation pathways and a Well Architected Framework for Embryonic Research (WAFER) similar to and building on AWSs Well Architected Framework (WAF) for all early stage product and operational GenAI PoCs across the organization.
- Oversee ML/AI related Kubernetes (k8s) cluster management and provide guidance on alternative ML/AI workflow orchestration options such as Argo vs Kubeflow and ML/AI data pipeline creation management and governance with tools like Airflow.
- Employ 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 diligent 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 5 years of experience in Engineering/IT solutions OR BA/BS
- Minimum of 5 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
- Extensive experience in managing Kubernetes clusters for ML workflows.
- Solid understanding of foundation models and their applications in ML/AI 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 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
- Our Social Media Follow AstraZeneca on LinkedIn AstraZeneca on Facebook AstraZeneca on Instagram US Footprint: Powering Scientific Innovation - YouTube
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 were 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 $167772.00 to $251658.00.Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime 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.
AstraZenecais 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.
#LI-Hybrid
Date Posted
24-Jun-2025Closing Date
07-Jul-2025Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion starting with our recruitment process. We welcome and consider applications from all qualified candidates regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations please complete the section in the application form.Employment Type
Full-Time
