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Evinova · 2 weeks ago

Generative AI Platform Architect – Evinova

Gaithersburg, MD

Full-time

Hybrid

Senior Level, Lead/Staff

$168K/yr - $252K/yr

10+ years exp

Evinova, a global health tech business and subsidiary of AstraZeneca, is seeking a Generative AI Platform Architect to lead the design and operational excellence of their Generative AI ecosystem. The role involves architecting scalable cloud solutions and establishing governance frameworks while driving innovation in the life sciences sector.

AppsArtificial Intelligence (AI)Health CareSaaSSoftwareTask Management

H1B Sponsor Likely

Responsibilities

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

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

Qualification

AWS infrastructureGenerative AI operationsKubernetes managementData Science LifecycleCloud architectureTypescriptPythonAWS CDKProjenArgo CDFoundation modelsCustomer-obsessedCollaborationCommunicationDetail-oriented

Required

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

Benefits

Short-term incentive bonus opportunity

Equity-based long-term incentive program

Retirement contribution (hourly roles)

Commission payment eligibility (sales roles)

Qualified retirement program [401(k) plan]

Paid vacation and holidays

Paid leaves

Health benefits including medical, prescription drug, dental, and vision coverage

Company

Evinova

Evinova delivers digital tools for clinical trials, including patient apps, site portals, eConsent, eCOA, telemedicine, and data integration

Founded in 2023

Baar, Zug, CHE

201-500 employees

https://evinova.com

H1B Sponsorship

Evinova has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (1)