ML/AI Cloud Engineering Architect – Evinova at AstraZeneca

Gaithersburg, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

251658.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Infrastructure, Machine Learning, Artificial Intelligence, AWS, Kubernetes, Data Science, Typescript, DevOps, CI/CD, Governance, Cost-Benefit Analysis, Microservices, API Design, Database Management, Predictive Analytics, Collaboration

Industry

Pharmaceutical Manufacturing

Description

Job Title: ML/AI Cloud Engineering 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. You’re disruptive, decisive, and transformative. Someone excited to use technology to improve patients’ health. We’re 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 we’re 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 Cloud Engineering 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 AWS’s Well Architected Framework (WAF) for all early stage product and operational GenAI PoC’s 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 www.evinova.com Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en Our 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 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. #LI-Hybrid Date Posted 03-Oct-2025 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.

Responsibilities

The ML/AI Cloud Engineering Architect will architect and oversee the global cloud ML/AI infrastructure, ensuring operational excellence and compliance with industry standards. This role involves designing scalable cloud solutions and establishing governance frameworks for ML/AI operations.