21 час назад
Senior AI Engineer (GenAI)
145 900 - 234 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (GenAI): Designing and operating cloud-based AI software platforms and data products for supply chain and enterprise digital applications with an accent on lakehouse architecture, LLMOps, model serving, governance, and GxP compliance. Focus on building production GenAI systems, APIs, feature pipelines, observability, and reliable deployment patterns across regulated environments.
Location: Cambridge, Massachusetts, or Warsaw, Poland; 70% in-office work model
Salary: $145,900–$234,200 per year, plus potential bonus, incentive compensation, or equity
Company
develops mRNA technology and medicines through a biotechnology and scientific platform.
What you will do
- Define reference architectures and technical strategies for AI software delivery, GenAI applications, agentic workflows, ML services, and cloud data platforms.
- Lead deployment standards across development, testing, validation, and production, including lakehouse design, Unity Catalog, MLflow, model serving, automation, observability, and access governance.
- Build and review APIs, orchestration patterns, model-serving interfaces, reusable libraries, and platform accelerators for production AI systems.
- Establish AI/ML/LLMOps practices covering automated testing, CI/CD, infrastructure as code, versioning, evaluation, monitoring, incident response, and rollback.
- Integrate SAP and enterprise data sources into data products, feature pipelines, semantic layers, and decision-support services for supply chain and business stakeholders.
- Partner with product, architecture, cybersecurity, quality, validation, and infrastructure teams while mentoring engineers and improving reliability, performance, cost efficiency, data quality, and developer experience.
Requirements
- Bachelor’s or master’s degree in a relevant technical field, or equivalent deep technical experience.
- 7+ years of software, data, or AI engineering experience, including 4+ years delivering production ML, GenAI, analytics, automation, or data-intensive systems.
- Expert Python and SQL skills, software architecture expertise, and experience with Java, Scala, or TypeScript.
- Hands-on frontend experience with TypeScript/JavaScript and a modern framework such as React, Angular, Vue, or Svelte.
- Hands-on backend experience designing production APIs and services, including REST or GraphQL, security, testing, observability, and debugging.
- Experience with LLM/GenAI systems, RAG, agents, embeddings, vector search, evaluation, guardrails, cloud architecture, CI/CD, infrastructure as code, and secure regulated systems. Only U.S. persons eligible because of export-control requirements; cannot sponsor non-U.S. persons for an export-control license.
Nice to have
- Life sciences, pharmaceutical manufacturing, supply chain, quality, or other regulated-domain experience.
- SAP ECC/S/4HANA, IBP, MM, PP, QM, SD, EWM/WM, MDG, or BTP integration experience.
- Databricks Asset Bundles, Terraform, Databricks SQL, feature stores, vector search, model monitoring, and lakehouse governance experience.
- Experience with forecasting, optimization, simulation, anomaly detection, scheduling, inventory, logistics, or decision intelligence.
- Experience mentoring senior engineers and influencing technical direction across global teams.
Culture & Benefits
- 70/30 in-office working model emphasizing collaboration, innovation, and mentorship.
- Healthcare and voluntary benefit programs.
- Fitness, mindfulness, and mental health resources.
- Family planning benefits including fertility, adoption, and surrogacy support.
- Paid vacation, volunteer days, sabbatical, global recharge days, and discretionary year-end shutdown.
- Savings and investment programs plus location-specific perks.
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