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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead, Solution Architect - R&D Digital Platforms - **Company:** Entegris - **Location:** Bedford, MA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Cyber Security, Continuous Delivery, Continuous Integration, Data as a Services, Data Architecture, DevOps, Graph Database, Laboratory Information Management Systems, Machine Learning, Scaled Agile Framework, Search Technologies, Systems Integration, Technical Data Management Systems, Web Platforms, Cloud Platform System, High Performance Computing, Data Ingestion, IT Architecture, Model Validation, Information Technology, Data Lineage, Modeling and Simulation, Data Analytics, Data Management, Machine Learning Operations, Devsecops, Docker - **Published:** September 9, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18260761?backUrl=%2Fcareer%2F18260761%2FLead-Solution-Architect-R-D-Digital-Platforms-Massachusetts-Bedford ## About the Role * Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred). * 8+ years of experience in solution architecture and delivering cloud-based platforms and custom solutions. * Experience with digital research and development (R&D) ecosystems and laboratory informatics (for example: Laboratory Information Management Systems, Electronic Lab Notebooks, scientific data management systems, instrumentation integration). * Strong depth across systems integration, cloud platforms, data and analytics architectures, and AI/ML concepts. * Experience designing solutions that support research and development, engineering, manufacturing, or other scientific/technical workflows. * Experience working in agile delivery environments, including scaled agile (SAFe) models, across globally distributed teams and partners. Preferred Qualifications: * Exposure to modeling and simulation, including high performance computing integration patterns. * Familiarity with knowledge graph concepts and/or semantic search patterns. * Familiarity with continuous integration/continuous delivery pipelines, DevOps/DevSecOps practices, and containerization/orchestration concepts (for example: Docker and Kubernetes). * Experience operating in federated, global environments with diverse processes, systems, and data landscapes. Outstanding Candidates Will Have: * Architecture & systems thinking: ability to design cohesive, end to end solutions spanning data ingestion, data products, integrations, user workflows and user experiences. * Data & AI architecture thought leadership: deep understanding of metadata strategy, lineage, and semantic modeling concepts (including taxonomies and ontologies) to enable enterprise reuse and AI readiness. * AI/ML and generative AI patterns: deep understanding of with modern patterns such as retrieval-based approaches, agent-based orchestration concepts, model evaluation/guardrails fundamentals, and machine learning operations concepts (MLOps). * Technical judgment & tradeoffs: ability to evaluate options and clearly communicate architectural recommendations. * Security and intellectual property-aware design: ability to incorporate security-by-design principles and partner effectively with cybersecurity and enterprise architecture stakeholders. * Communication & documentation: ability to create clear artifacts (diagrams, decision records, non-functional requirements) and communicate effectively to technical and non-technical audiences. * Cloud and full-stack fluency: hand-on experience with cloud infrastructure and services (GCP), including High Performance Compute, AI/ML, and full stack application development. ## Description Our team is looking for a highly skilled Lead, Solution Architect - R&D Digital Platforms with experience envisioning and designing endto end architectures for digital platforms, data, AI/ML, and user experience capabilities, enabling scalable, secure, and reusable solutions across complex research and development environments. Our Digital Innovation Platform leverages advances in artificial intelligence and machine learning, modeling and simulation, and cloud technologies to deliver digital tools and workflows that accelerate innovation and reduce cycle time for new product development. In this role, you will define and evolve the architectural foundation that enables globally scalable, secure, and reusable digital capabilities for research and development teams. You will ensure that technology components are designed cohesively across data ingestion, data products, integrations, and user workflows-while enabling enterprise reuse and long-term sustainability. You will work closely with Product Owners, delivery teams, enterprise architecture and cybersecurity partners, and external vendors to guide architecture decisions from concept through delivery. What You'll Do: * Define and evolve Digital Innovation Platform solution architecture, including target state blueprints and reusable patterns spanning experimentation workflows, data services, integrations and experience-layer design enabling digital R&D capabilities. * Design integration and data architectures supporting experiment execution, data capture, contextualization, data lineage, and enterprise reuse (for example: laboratory systems integration, modern cloud data platforms, and semantic approaches). * Guide AI enabled capability architecture, including search, summarization, and workflow orchestration aligned to enterprise guardrails. * Evaluate and recommend build vs. buy vs. integrate approaches, balancing speed, scalability, maintainability, and total cost of ownership. * Provide architectural guidance and governance across delivery teams and partners through design reviews, architecture decision records, and standards/patterns enforcement. * Ensure alignment with cybersecurity, intellectual property protection, compliance, and enterprise architecture standards in partnership with security and enterprise architecture teams. * Define non-functional requirements and operational patterns (scalability, reliability, performance, observability) to support global adoption and sustained platform operations. * Enable secure delivery practices (DevOps/DevSecOps), advising on continuous integration and continuous delivery pipelines, infrastructure-as-code patterns, and runtime considerations (including containerization where appropriate). * Coordinate cross-domain alignment by partnering with enterprise data teams to ensure platform data and semantic models integrate cleanly with adjacent domains (for example: quality, supply chain, and manufacturing) where required. * Promote architectural consistency and reuse by sharing best practices and driving adoption of common patterns across initiatives. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? 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