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Sr. Solution Architect

Sr. Solution Architect

RH VisiónArgentina
Hace 24 días
Descripción del trabajo

Roles and Responsibilities :

  • Partner with Product teams, flexible and supportable technical systems that drive business value in support of Regulatory Strategy and Intelligence
  • Develop architecture artifacts, lead engineers, platform owners, R&D Architecture, Information Security, Quality and Technology Services stakeholders.
  • Artifacts for each project include the business context diagram, process overview, data flow diagram, application architecture, data model overview, integration architecture, infrastructure architecture and ML and ML Ops architectures.
  • Responsible for architecture alignment to Regulatory, Enterprise and R& D technology strategies, patterns and standards.
  • Enable business at scale through scalable technologies applications, reusable integration patterns and intelligent automation.
  • Capture architecture and design information and decisions using J&J-standard tools (Lean IX, SAXpress, Asset Management, Draw-IO, AMT, Confluence, MS Teams)

Education :

  • BA / BS degree in a technical, engineering or scientific field
  • AWS-Certified Solutions Architect certification required
  • AWS Well-Architected Framework certification desirable
  • AWS Certified Machine Learning Specialty certification desirable
  • Experience and Skills :

    Required :

  • Understanding of Pharmaceutical Regulatory Affairs domain, capabilities, data, content and terminology
  • 5+ years of experience as a Solution Architect in Pharmaceutical development
  • 5+ years of experience in integration design and operationalization (REST APIs, Kafka, ETL, data pipeline design, API gateways, data streaming)
  • 5+ years of experience working with content management platforms and structured RDBMS
  • 5+ years experience architecting and deploying cloud-native, scalable solutions on AWS, GCP and / or Azure for data capture, advance analytics and intelligent automation.
  • Experience architecting regulated systems (GxP, HIPAA, GDPR, etc)
  • Cloud native solution engineering experience covering compute, networking, storage, database and integrations
  • Proficiency in Deep Learning frameworks like TensorFlow, PyTorch, or similar tools for developing generative AI models.
  • Understanding of NLP, including large language models (LLMs), their training, and fine-tuning.
  • Knowledge of model training, evaluation, and optimization techniques.
  • Ability to tackle complex business challenges and provide actionable AI-based solutions.
  • Experience leading technical conversations, working to remove ambiguity, drive consensus and decisions across stakeholders
  • Proven ability to understand and articulate business requirements, direction, and initiatives
  • Experience surfacing technical requirements and contributing to IT product roadmaps
  • Excellent oral and written communication skills including the ability to translate and transform complex topics into concise architectural diagrams and presentations.
  • Strong ability to build and manage relationships at various levels, both inside and outside an organization.
  • Proven track record of designing robust, highly available, scalable and flexible solutions that serve a multi-national user and Health Authority community.
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