Jobs / United States / Astrazeneca Pharmaceuticals Lp
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Astrazeneca Pharmaceuticals Lp · 🇺🇸 US - Gaithersburg - MD
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles2 certified filings for “Senior Platform Engineer - CRM Applications” (Information Technology Project Managers) in DE: $149k–$176k, median $163k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Astrazeneca Pharmaceuticals Lp
The US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 31 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Astrazeneca Pharmaceuticals Lp →
About the role
WHY JOIN US? Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led rigor, and deep human insight, we design digital solutions that enable healthcare to work better for everyone. Operating at the intersection of healthcare, technology, data, and analytics, we are helping unlock the full potential of digital health, transforming how clinical research is conducted, how care is delivered, and how patients experience healthcare. Our solutions are built to scale, driving efficiency, improving decision-making, and ultimately delivering better outcomes for patients worldwide. At Evinova, we are driven by a shared purpose to transform health through data and digital innovation. Our teams collaborate across disciplines to solve complex challenges, continuously learning and evolving in a fast-paced, high-impact environment. We also recognize the importance of flexibility and balance. Our ways of working support both individual needs and team collaboration. To foster connection and collaboration, employees are expected to work from the office three days per week , creating opportunities for in-person teamwork, innovation, and meaningful connection. This role is located in Gaithersburg, Maryland and follows a hybrid work model. Candidates must reside within commuting distance of Gaithersburg or be willing to relocate for this opportunity. Introduction to Role The Machine Learning and Artificial Intelligence Operations team (ML/AI Ops) is the cloud platform engineering team responsible for building and operating the infrastructure that enables our AI Engineers and Data Scientists to deploy Generative AI applications reliably, securely, efficiently and at scale. As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI workloads. Most of the code you write will be AWS CDK (TypeScript and/or Python) that creates the infrastructure for other teams to build on. This is a cloud and platform engineering role rather than an AI application development role. You will partner closely with the engineers and Data Scientists who build agents and models, and provide the infrastructure, deployment patterns, model access, observability and operational capabilities they need to move solutions from experimentation into reliable production environments. You will work across AWS infrastructure, infrastructure as code (IaC), Amazon Bedrock AgentCore, Amazon ECS, CI/CD, SageMaker Unified Studio, AI gateways, observability, scalability, reliability, security, governance and cost optimization. Your work will establish reusable platform capabilities that allow teams across Evinova to deploy and operate solutions faster and more reliably while meeting the requirements of a highly regulated pharmaceutical environment. Accountabilities Cloud Platform Engineering • Design, build and operate scalable AWS cloud platform capabilities for production ML/AI and Generative AI workloads. • Create reusable infrastructure, tooling and deployment patterns that enable AI Engineers and Data Scientists to independently deploy and operate their applications. • Write and maintain AWS IaC primarily AWS CDK in TypeScript and/or Python, including reusable CDK constructs that other teams consume. • Build and operate containerized workloads using Amazon ECS and AgentCore. • Develop reusable platform capabilities across compute, networking, IAM, secrets management, storage, model access and workload isolation. • Build and maintain CI/CD and GitOps workflows that enable safe, automated and repeatable deploymen