{"id":108165,"url":"https://alion.io/job/moderna-inc-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":5847,"name":"Moderna","domain":"modernatx.com","url":"https://alion.io/company/modernatx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":17,"ghost_share":0,"stale_share":0.647,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145900,"max":234200,"currency":"USD","period":"year","gross":null,"usd_annual":234200},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Delta Lake","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"IAM","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Svelte","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Databricks","optional":true},{"name":"Feature Store","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-22T00:32:38Z","board_verified":true,"closed_at":null,"days_open":99,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":99},"description":"The Role\nModerna is seeking a Senior AI Engineer in Cambridge, MA/ Warsaw, Poland to provide deep technical leadership for the design, implementation, and operation of AI software platforms and Cloud-based deployment patterns for Supply Chain and enterprise Digital. This is a senior individual contributor role that sets architecture, codes critical components, establishes engineering standards, and mentors engineers while partnering closely with product and business leaders.\nYou will own end-to-end application architecture and delivery strategy for AI and data products: lakehouse patterns, Unity Catalog governance, CI/CD and release automation, MLflow model lifecycle, feature/data product packaging, model serving, vector search, observability, cost/performance optimization, and validated releases for GxP use cases. The role requires demonstrated experience shipping scalable AI/ML/GenAI systems, APIs, and data applications in enterprise environments.\nHere's What You’ll Do\nDefine the technical strategy and reference architecture for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud-based data/AI platforms.\nLead 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.\nBuild 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.\nEstablish 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.\nGuide 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.\nPartner with product owners, architects, cybersecurity, quality, validation, and infrastructure teams to ensure solutions meet business outcomes, security expectations, GxP requirements, and enterprise architecture standards.\nCoach 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.\nImprove platform reliability, performance, cost efficiency, data quality, and developer experience through metrics, architectural guardrails, operational playbooks, and continuous feedback from users and support teams.\nHere’s What You’ll Need (Basic Qualifications)\nBachelor'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.\n7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML, GenAI, analytics, automation, or data-intensive systems.\nExpert proficiency with Python and SQL, strong software architecture fundamentals, and experience with at least one additional language such as Java, Scala, or TypeScript.\nHands-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.\nHands-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.\nDemonstrated 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.\nStrong background in cloud architecture on AWS, Azure, or GCP, including IAM, networking, secrets management, CI/CD, infrastructure-as-code, and production support models.\nExperience designing secure, compliant, auditable systems in regulated environments, with practical understanding of GxP, data integrity, validation documentation, and change control.\nHere’s What You’ll Bring to the Table (Preferred Qualifications)\nExperience in life sciences, pharmaceutical manufacturing, supply chain, quality, or another regulated operational domain.\nExperience 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.\nAdvanced experience with Databricks Asset Bundles, Terraform or infrastructure-as-code, Databricks SQL, Feature Engineering/Feature Store, Vector Search, model monitoring, and lakehouse governance patterns.\nApplied expertise in forecasting, optimization, simulation, anomaly detection, scheduling, inventory, logistics, or decision intelligence methods.\nTrack record of mentoring senior engineers, shaping engineering communities of practice, and influencing technical direction across global teams.\nPay & Benefits\nAt 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.\nCompetitive healthcare, plus voluntary benefit programs to support your unique needs\nA holistic approach to well-being, with access to fitness, mindfulness, and mental health support\nFamily planning benefits, including fertility, adoption, and surrogacy support\nGenerous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown\nSavings and investments to help you plan for the future\nLocation-specific perks and extras\nThe salary range for this role is $145,900.00 - $234,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs.\n\nThe 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.\nAbout Moderna\nSince 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.\nBy 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.\nWe 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.\nIf 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.\nOur Working Model\nAs 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.\nModerna is a smoke-free, alcohol-free, and drug-free work environment.\nEqual Opportunities\nModerna is committed to equal employment opportunity 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. 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!\nModerna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.\nAccommodations\nWe’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.\nModerna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation 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 team at .\nExport Control Notice\nThis position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. 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