Note: The job is a remote job and is open to candidates in USA. Moderna is a leading biotechnology company focused on mRNA technology and innovative medicine delivery. They are seeking a Senior AI Engineer to lead the design, implementation, and operation of AI software platforms and cloud deployment patterns for supply chain and enterprise digital applications. This role involves technical leadership, architecture ownership, mentoring engineers, and ensuring scalable, secure AI/ML systems that meet regulatory requirements.
Responsibilities
- Define the technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud-based data/AI platforms
- Lead end-to-end Cloud deployment standards across development, test, validation, and production environments, including workspace architecture, Delta Lake/Lakehouse design, Unity Catalog, Workflows/Jobs, MLflow, model serving, deployment automation, observability, and access governance
- Build and review critical software components, APIs, orchestration patterns, model-serving interfaces, reusable libraries, and platform accelerators that enable teams to move AI prototypes into production reliably
- Establish engineering practices for AI/ML/LLMOps, including automated testing, CI/CD, infrastructure-as-code, release management, model and prompt versioning, evaluation, monitoring, incident response, and rollback
- Guide integration of SAP and enterprise data sources into trusted data products, feature pipelines, semantic layers, and decision-support services for Supply Chain, Quality, Manufacturing, Finance, and Digital stakeholders
- Partner with product owners, architects, cybersecurity, quality, validation, and infrastructure teams to ensure solutions meet business outcomes, security expectations, GxP requirements, and enterprise architecture standards
- Coach and mentor engineers across regions, raise the quality of design reviews and code reviews, and help build a practical AI/Data/Automation Center of Excellence with reusable standards and assets
- Improve platform reliability, performance, cost efficiency, data quality, and developer experience through metrics, architectural guardrails, operational playbooks, and continuous feedback from users and support teams
Skills
- 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
- 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
Benefits
- 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 planning benefits, including fertility, adoption, and surrogacy support
- Generous paid time off, including vacation, 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 successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.
Company Overview