Job Summary
Sr Product Architect ISG will design and evolve enterprise grade scientific software solutions built on Revvity Signals and IDBS Polar enriched with agentic and generative AI capabilities using Python3. The role focuses on hybrid work collaboration to translate complex research workflows into scalable digital products that accelerate data driven discovery and operational efficiency for global clients.
Responsibilities
Architect integrated product solutions that combine Revvity Signals and IDBS Polar to streamline end to end scientific data management workflows for global research and development teams.Design robust application architectures that embed agentic AI capabilities to automate decision flows and optimize user interactions across scientific informatics platforms.Shape product blueprints that apply generative AI models to enhance insight discovery content generation and intelligent recommendations tailored to scientific use cases.Develop Python3 based reference implementations and reusable frameworks that demonstrate scalable patterns for integrating AI components into existing product ecosystems.Guide cross functional teams in translating complex scientific requirements into modular architectures ensuring consistent performance scalability and regulatory compliance.Collaborate with product management and customer stakeholders to define architecture roadmaps that align with business outcomes and long term platform evolution.Evaluate emerging AI and data engineering technologies and produce architecture assessments that inform strategic investments and modernization initiatives for ISG offerings.Establish architecture governance practices including design reviews standards and patterns that promote maintainable secure and extensible product solutions.Create detailed solution designs for hybrid work collaboration scenarios ensuring reliable access data security and performance across distributed environments.Review implementation designs and technical deliverables from engineering teams providing guidance to ensure adherence to architecture principles and quality benchmarks.Document architecture decisions integration approaches and data flows in comprehensive artifacts that enable efficient onboarding and knowledge sharing across teams.Optimize system level performance by analyzing workloads data pipelines and AI inference patterns proposing architectural enhancements that reduce latency and improve scalability.Coordinate with security and compliance experts to embed privacy and governance controls into product architectures addressing scientific data sensitivity and regulatory needs.
Qualifications
Bring extensive experience designing and implementing solutions on Revvity Signals with deep understanding of scientific data models workflows and integration patterns.Demonstrate strong expertise in IDBS Polar with proven ability to architect configurations and extensions that support complex laboratory and research processes.Exhibit advanced proficiency in Python3 for building backend services data processing components and AI integration layers supporting high performance applications.Show practical experience delivering agentic AI solutions with focus on orchestration of autonomous workflows tools and context aware actions in production environments.Apply hands on knowledge of generative AI models including prompt engineering and model integration to create value driven features within scientific software products.Utilize solid background in enterprise software and cloud ready architectures to design scalable secure and resilient solutions suitable for hybrid work models.
Certifications Required
Preferred certifications include Python Institute PCPP and vendor or industry training in AI driven scientific informatics such as Revvity or IDBS platform certifications.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
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