4 дня назад
Lead, Solution Architect - R&D Digital Platforms (AI/ML)
140 000 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead, Solution Architect - R&D Digital Platforms (AI/ML): Defining and evolving scalable, secure digital platform architectures for research and development, with an accent on data integration, AI/ML capabilities, cloud platforms, and laboratory informatics. Focus on designing reusable end-to-end architecture, governing security and interoperability, and enabling DevSecOps, semantic data models, and reliable global platform operations.
Location: Hybrid position in Bedford, Massachusetts, United States
Salary: $140,000–$175,000 per year, plus annual bonus eligibility
Company
uses advanced science and technology to support innovation and product development.
What you will do
- Define and evolve solution architecture for the Digital Innovation Platform, including reusable blueprints for R&D workflows, data services, integrations, and user experiences.
- Design integration and data architectures for experiment execution, data capture, contextualization, lineage, semantic models, and enterprise reuse.
- Guide AI-enabled capabilities such as search, summarization, workflow orchestration, retrieval-based solutions, and agent-based patterns.
- Evaluate build, buy, and integration options while balancing scalability, maintainability, delivery speed, and total cost of ownership.
- Provide architecture governance through design reviews, decision records, standards, and non-functional requirements covering reliability, performance, scalability, and observability.
- Partner with product owners, delivery teams, enterprise architecture, cybersecurity, data teams, and external vendors to support secure and sustainable platform delivery.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field; an advanced degree is preferred.
- 8+ years of experience in solution architecture and delivery of cloud-based platforms and custom solutions.
- Experience with R&D ecosystems, laboratory informatics, laboratory information management systems, electronic lab notebooks, scientific data management systems, or instrumentation integration.
- Strong knowledge of systems integration, cloud platforms, data and analytics architectures, and AI/ML concepts.
- Experience supporting scientific, technical, engineering, manufacturing, or R&D workflows and working in agile or scaled agile environments.
- Immigration sponsorship is not available; applicants must not require current or future H1B, TN, STEM OPT, or other immigration sponsorship.
Nice to have
- Experience with modeling and simulation, high-performance computing integration, knowledge graphs, semantic search, Docker, Kubernetes, DevOps, or DevSecOps.
- Experience with GCP, AI/ML, MLOps, metadata strategy, data lineage, taxonomies, ontologies, and model guardrails.
- Experience operating across federated global environments with diverse systems, processes, and data landscapes.
Culture & Benefits
- Progressive paid time off policy.
- 401(k) plan with employer matching and no delayed vesting.
- Health, dental, and vision insurance.
- Education assistance and annual bonus eligibility.
- Values-driven environment emphasizing people, accountability, creativity, and excellence.
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