Senior AI Engineer at Moderna

Warsaw, mazowieckie, Poland -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Generative AI, LLMOps, Cloud Architecture, TypeScript, React, API Design, MLflow, Databricks, RAG, CI/CD

Industry

Biotechnology Research

Description

If you’re interested in this role, please apply in English and include an English version of your Resume/CV. The Role: Joining Moderna means advancing mRNA science to transform medicine. Work with exceptional global teams on a broad pipeline and build a career that makes a real difference for patients. Moderna is strengthening its international business services hub in Warsaw, supporting our growing global operations. We welcome professionals ready to help advance our mission and shape the future of mRNA medicines. This is an opportunity to shape the engineering foundation that powers Moderna's next generation AI capabilities across Supply Chain and Enterprise Digital. As a senior technical leader, you will define the architecture, standards, and deployment patterns that transform AI, machine learning, and Generative AI innovations into secure, scalable, enterprise-grade products. Working across engineering, product, quality, infrastructure, and business teams, you will play a pivotal role in accelerating how AI delivers measurable impact throughout the organization. Here's What You'll Do: Provide deep technical leadership for the design, implementation, and operation of AI software platforms and cloud-based deployment patterns supporting Supply Chain and Enterprise Digital. Serve as a senior individual contributor, setting technical architecture, building critical software components, establishing engineering standards, and mentoring engineers across multiple regions. Own the end-to-end application architecture and delivery strategy for AI and data products, including lakehouse patterns, Unity Catalog governance, CI/CD pipelines, release automation, MLflow model lifecycle management, feature and data product packaging, model serving, vector search, observability, cost and performance optimization, and validated releases supporting GxP use cases. Define the technical strategy and reference architecture for AI software delivery, Generative AI applications, agentic workflows, machine learning services, APIs, and cloud-native AI and data platforms. Lead cloud deployment standards across development, testing, validation, and production environments, including workspace architecture, Delta Lake and Lakehouse design, Unity Catalog, Workflows and Jobs, MLflow, model serving, deployment automation, observability, and enterprise access governance. Design, build, and review critical software components, reusable libraries, orchestration patterns, model-serving interfaces, APIs, and platform accelerators that enable teams to transition AI prototypes into robust production solutions. Establish best-in-class engineering practices for AI/ML/LLMOps, including automated testing, continuous integration and continuous delivery, infrastructure as code, release management, model and prompt versioning, evaluation frameworks, monitoring, incident response, and rollback strategies. Drive the integration of SAP and enterprise data sources into trusted data products, feature engineering pipelines, semantic layers, and intelligent decision-support services supporting Supply Chain, Manufacturing, Quality, Finance, and Enterprise Digital. Partner closely with product owners, enterprise architects, cybersecurity, quality, validation, infrastructure, and business stakeholders to ensure solutions meet enterprise architecture standards, security expectations, regulatory requirements, GxP compliance, and business objectives. Coach and mentor engineers by raising the quality of architecture discussions, technical design reviews, and code reviews while helping build a practical AI, Data, and Automation Center of Excellence through reusable engineering standards, frameworks, and accelerators. Continuously improve platform reliability, scalability, developer experience, data quality, operational excellence, and cost efficiency through architectural guardrails, platform metrics, observability, operational playbooks, and continuous user feedback. Leverage modern Generative AI technologies and emerging AI engineering capabilities to accelerate software delivery, automate engineering workflows, and enable intelligent enterprise solutions that create lasting business value. Bring demonstrated experience delivering scalable AI, machine learning, Generative AI, APIs, and enterprise data applications into production environments with a strong focus on engineering excellence and operational reliability. The key Moderna Mindsets you'll need to succeed in the role: We obsess over learning. We don’t have to be the smartest we have to learn the fastest. We digitize everywhere possible using the power of code to maximize our impact on patients. Here’s What You’ll Need (Basic Qualifications) Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field; equivalent deep technical experience will be considered. 7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML, GenAI, analytics, automation, or data-intensive systems. Expert proficiency with Python and SQL, strong software architecture fundamentals, and experience with at least one additional language such as Java, Scala, or TypeScript. Hands-on frontend engineering experience with TypeScript/JavaScript and a modern framework such as React, Angular, Vue, or Svelte, including reusable components, state management, forms, charts, browser fundamentals, accessibility, and responsive design. Hands-on backend engineering experience designing production APIs and services using Python, Node.js, Java, Scala, or comparable technologies, including REST/GraphQL patterns, service boundaries, authentication, authorization, testing, observability, and production debugging. Demonstrated experience architecting and operating LLM/GenAI systems, including RAG, agents/tool use, embeddings/vector search, model and prompt evaluation, guardrails, monitoring, and human-in-the-loop controls. Strong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, secrets management, CI/CD, infrastructure-as-code, and production support models. Experience designing secure, compliant, auditable systems in regulated environments, with practical understanding of GxP, data integrity, validation documentation, and change control. Here’s What You’ll Bring to the Table (Preferred Qualifications) Experience in life sciences, pharmaceutical manufacturing, supply chain, quality, or another regulated operational domain. Experience with SAP-centric supply chain data and integration patterns, including SAP ECC/S/4HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, BTP, or related analytics enablement. Advanced experience with Databricks Asset Bundles, Terraform or infrastructure-as-code, Databricks SQL, Feature Engineering/Feature Store, Vector Search, model monitoring, and lakehouse governance patterns. Applied expertise in forecasting, optimization, simulation, anomaly detection, scheduling, inventory, logistics, or decision intelligence methods. Track record of mentoring senior engineers, shaping engineering communities of practice, and influencing technical direction across global teams. Pay & Benefits At Moderna, we believe that when you feel your best, you can do your best work. That’s why our benefits and well-being resources are designed to support you—at work, at home, and everywhere in between. Competitive healthcare, plus voluntary benefit programs to support your unique needs A holistic approach to well-being with access to fitness, mindfulness, and mental health support Family building benefits, including fertility, adoption, and surrogacy support Generous paid time off, including vacation, bank holidays, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown Savings and investments to help you plan for the future Location-specific perks and extras The benefits offered may vary depending on the nature of your employment with Moderna and the country where you work. About Moderna Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world. By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. Moderna is a smoke-free, alcohol-free, and drug-free work environment. Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply! Moderna is committed to equal opportunity in employment and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. Moderna is committed to offering reasonable accommodation or adjustments to qualified job applicants with disabilities. Any applicant requiring an accommodation or adjustment in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations and Adjustments team at leavesandaccommodations@modernatx.com. - Our Mission and Vision At Moderna we are pioneering the development of a new class of drugs made of messenger RNA (mRNA). This novel drug platform builds on the discovery that modified mRNA can direct the body’s cellular machinery to produce nearly any protein of interest, from native proteins to antibodies and other entirely novel protein constructs that can have therapeutic activity inside and outside of cells. We have a clear mission to propel the field of mRNA science forward and deliver new medicines to patients and a unique vision for how to achieve this mission. Our Mission: To deliver on the promise of transformative messenger RNA (mRNA) science to bring new medicines to patients. Our Vision: To unlock the potential of mRNA by establishing an ecosystem of teams and partners that will work together to develop the broadest possible array of drugs, across diverse therapeutic areas and routes of administration, for serious diseases that are not treatable today. Third Party Staffing Agencies Moderna does not accept unsolicited resumes from any source other than directly from candidates. For the protection of all parties involved in the recruiting process, resumes will only be accepted from recruiters/agencies if a signed agreement is in place at the inception of the recruiting effort and authorized for a specified position. Unsolicited resumes sent to Moderna from recruiters/agencies do not constitute any type of relationship between the recruiter/agency and Moderna and do not obligate Moderna to pay fees if we hire from those resumes. Reasonable Accommodation Notice Moderna will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Please inform the company's personnel representative by calling 617-460-9346 or emailing humanresources@modernatx.com if you need assistance completing any forms or to otherwise participate in the application process. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. Return Home

Responsibilities

Define the architecture and deployment patterns for secure, scalable AI and Generative AI products across Supply Chain and Enterprise Digital. Lead the design of AI software platforms, establish engineering standards, and mentor global engineering teams.