Evinova MLAI Platform Architect

Evinova delivers marketleading digital health solutions that are sciencebased evidenceled and human experiencedriven. Smart 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 gamechanging digital solutions that improve the patient 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.

The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is a newly formed team of battletested and proven SaaS ML/AI developers and operators that 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 through our pharmaceutical clinical SaaS products.

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 infrastructureascode and CI/CD pipelines and ensure bestinclass operations striving to push even beyond mere compliance with industry standards such as Good Clinical Practices (GCP) and Good Machine Learning Practice (GMLP).

On the human side of the equation our team forges deep relationships across broader engineering design product and science organizations and are quitessential and consummate interdisciplinary teammates and collaborators that can build on our deep heritage within global pharmaceutical clinical trials to drive Stateoftheart (SOTA) AI product experiences with tangible and quantifiable product and business operations impact.

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 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 costbenefit analyses of foundation models to drive strategic decisions across the organization.

This position requires a deep understanding of cloudnative ML/AI Ops methodologies and technologies AWS infrastructure Stateoftheart (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.

Role & Team Key Responsibilities:

Operational Excellence

• Lead by example in creating highperformance missionfocused and interdisciplinary teams/culture founded on trust mutual respect growth mindsets and an obsession for building extraordinary products with extraordinary people.
• Lead by example in using reactive firefighting to 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 maximize our system Abilities (Learnability Flexibility Extendibility Interoperability Scalability).
• Drive precision and systemic cost efficiency optimized system performance and risk mitigation with a datadriven strategy comprehensive analytics and predictive capabilities at the treeandforest 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 multitenant SaaS environment.
• Establish governance frameworks for ML/AI 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 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 expertise 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 costbenefit 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:

• Customerobsessed and passionate about building products that solve realworld problems.
• Highly organized and detailoriented with the ability to manage multiple initiatives and deadlines.
• Collaborative and inclusive fostering a positive team culture where creativity and innovation thrive.

Required:

• Bachelors Degree and 8 years of experience in Engineering/IT solutions.
• Deep understanding of the Data Science Lifecycle (DSLC) and the ability to shepherd data science projects from inception to production within the platform architecture.
• 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.
• Experience with monitoring and optimizing cloud infrastructure for scalability and costefficiency.
• Ability to collaborate effectively with engineering design product science and security teams.
• Strong written and verbal communication skills for reporting and documentation.

• Previous experience as an AWS DevOps or Cloud Architect with a focus on ML/AI.
• Demonstrated ability to manage largescale complex projects across an organization.
• Proven experience in conducting performance and cost analyses of AWS infrastructure and ML/AI models.

Preferred:

• Preferred Education: M.S. or PhD in Computer Science or related field.
• Expert in Typescript AWS CDK Projen and Argo CD and other Cloud Infrastructure CI/CD Tools
• Deep knowledge of AWS services Bedrock Sagemaker EC2 S3 RDS Lambda etc) and handson design and implemention cloud systems (microservices architecture API design and database management (SQL/NoSQL)
• Minimum of 10 years in cloud infrastructure design and management roles.

InOffice Expectation:

When we put unexpected teams in the same room we fuel bold thinking with the power to inspire lifechanging medicines. Inperson working gives us the platform we need to connect work at pace and challenge perceptions. Thats why we work on average a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

The annual base pay (or hourly rate of compensation) for this position ranges from $150405 to $225607. Hourly and salaried nonexempt 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 jobrelated knowledge skills and experience. In addition our positions offer a shortterm incentive bonus opportunity; eligibility to participate in our equitybased longterm 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 atwill 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.

Why Evinova (AstraZeneca)

Evinova draws on AstraZenecas deep experience developing novel therapeutics informed by insights from thousands of patients and clinical researchers. Together we can accelerate the delivery of lifechanging 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 healthcare 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.

Interested Come and join our journey.

Date Posted

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