Job Summary
Sr Product Architect ISG will define and optimize advanced Generative AI and Machine Learning driven product architectures and validation strategies for life sciences research and development solutions ensuring robust verification and validation outcomes in a hybrid work model. The role focuses on scalable design quality excellence and measurable value for customers and society.
Responsibilities
Architect end to end product solutions that integrate Generative AI and Machine Learning capabilities into life sciences research and development platforms to deliver reliable data driven insights for global customers.Define scalable technical architectures that align with ISG product strategy by harmonizing analytics pipelines validation frameworks and deployment approaches for complex scientific workflows.Lead design of model lifecycle processes including data ingestion feature engineering training evaluation and monitoring to ensure consistent performance and traceability of advanced AI solutions.Drive creation of robust validation test execution strategies that cover functional performance usability and compliance aspects for AI enhanced products in regulated life sciences environments.Collaborate closely with cross functional teams including data science software engineering product management and quality to translate scientific requirements into clear system and component architecture specifications.Provide guidance on verification and validation methods tailored to Machine Learning models including test design scenario coverage model robustness assessment and continuous quality monitoring.Optimize architecture for hybrid work delivery by defining modular components standardized interfaces and remote friendly collaboration practices that support distributed teams and efficient iteration.Evaluate and select appropriate AI and data technologies by assessing scalability interoperability security and long term maintainability to uphold enterprise standards and customer expectations.Develop and review detailed architectural documentation including diagrams data flows and validation plans to ensure shared understanding and traceable decision making across the organization.Mentor senior technical contributors in applying best practices for Generative AI solution design model validation and verification workflows to raise overall engineering maturity.Partner with stakeholders to identify opportunities where AI driven automation and intelligent analytics can improve research outcomes reduce manual effort and accelerate innovation for scientific communities.Ensure that validation test execution and verification activities align with regulatory expectations and internal quality frameworks for life sciences solutions to protect patient safety and data integrity.Champion architecture decisions that enhance societal impact by enabling more accurate experiments faster discovery cycles and trustworthy AI usage in scientific products.
Qualifications
Demonstrate extensive experience in designing and delivering complex product architectures that incorporate Generative AI and Machine Learning capabilities for enterprise scale solutions.Possess strong hands on background in validation test execution including planning test case design coverage analysis and defect management for software and AI components.Show deep familiarity with life sciences research and development verification and validation practices including risk based testing traceability and documentation of scientific systems.Apply advanced knowledge of data engineering model evaluation techniques and AI performance optimization to ensure stable and efficient operation of analytics workloads.Bring proven expertise in collaborating with multidisciplinary teams such as data scientists engineers domain experts and quality professionals to deliver integrated solutions.Utilize strong communication and documentation skills to explain complex architectural decisions AI constraints and validation strategies in clear and concise language.Exhibit experience working in hybrid environments by using modern collaboration tools and processes that support effective design reviews and distributed implementation.
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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
