Demo

Solution Architecture

Fujitsu
Santa Clara, CA Full Time
POSTED ON 9/26/2025
AVAILABLE BEFORE 11/11/2025
Job Description

Solution Architect Job Description & Requirements

Position Overview

We are seeking an experienced Solution Architect to bridge the gap between our laboratory's cutting-edge core technologies and real-world customer applications. This role requires cross-disciplinary technical expertise combined with exceptional customer communication skills, enabling rapid understanding of emerging technologies and their application across diverse industry verticals.

Key Responsibilities

Technical Solution Design

  • Master multiple core technologies developed in our laboratory and continuously learn new emerging technologies
  • Analyze technical requirements and business challenges across different industry sectors
  • Design technical solution architectures tailored to customer needs
  • Assess technical feasibility and implementation risks

Customer Communication & Requirements Analysis

  • Conduct in-depth technical discussions and require interviews with clients across various domains
  • Understand industry-specific technical constraints and compliance requirements
  • Translate complex technical concepts into understandable business value propositions
  • Assist customers in evaluating ROI for technology adoption

Cross-functional Collaboration

  • Collaborate with R&D teams to ensure solution feasibility
  • Partner with sales teams to provide technical support and solution recommendations
  • Communicate with product teams to relay customer feedback and market trends
  • Participate in technology roadmap planning and product strategy development

Knowledge Management & Transfer

  • Build technical solution databases and best practice repositories
  • Author technical white papers and solution documentation
  • Train internal teams on new technology applications
  • Participating in technical conferences and industry events

Position Requirements

Essential Qualifications

  • Education: PhD degree in engineering, computer science, or related technical field
  • Academic Publications: Demonstrated research publications across multiple technical domains, including journal papers, conference proceedings, or patents
  • Technical Depth: Deep professional knowledge and research experience in at least 2-3 technical domains
  • Rapid Learning Ability: Capability to quickly master new technologies and understand their application potential
  • Communication Skills: Excellent customer communication and presentation abilities, capable of effective interaction with stakeholders from diverse backgrounds
  • Industry Insight: Understanding of technological trends and challenges across multiple industries

Technical Background Requirements

Experience in at least three of the following domains:

  • Artificial Intelligence/Machine Learning (Must)
  • Quantum Computer
  • Cloud Computing Architecture
  • Internet of Things (IoT) Systems
  • Blockchain Technology
  • Data Science/Big Data Analytics
  • Cybersecurity
  • Edge Computing
  • Automation Systems
  • Robotics and Control Systems
  • Advanced Materials and Nanotechnology
  • Biotechnology and Bioinformatics

Preferred Qualifications

  • Top-tier Publications: Research publications in prestigious journals (Nature, Science, IEEE series, etc.)
  • Cross-disciplinary Research: Experience in interdisciplinary research collaboration and multi-domain integration
  • Patent Portfolio: Experience with patent applications and intellectual property management
  • Academic Reputation: Recognition in academia, serving as journal reviewer or conference committee member
  • Industry-Academia Partnership: Rich experience in collaboration between academic and industrial sectors
  • Consulting Experience: Background in technical consulting or customer-oriented technical services
  • International Exposure: Experience in international academic exchange and cross-border collaboration
  • Technology Transfer: Successful cases of converting academic research into industrial applications
  • Professional Certifications: Relevant technical certifications or professional credentials
  • Training Experience: Background in technical presentations, academic talks, or talent development
  • Product management: especially for enterprise applications/solutions
  • Coding/software development experience a big plus

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