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Senior Solution Architect - Data, Analytics and AIFujitsu Careers • Dallas, Texas, United States
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Senior Solution Architect - Data, Analytics and AI

Fujitsu Careers
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
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À propos

Overview At Fujitsu, we have been driven to create a sustainable world through innovation since 1935. Today, we lead in digital transformation globally with our 130,000 employees across 50+ countries. We empower our diverse community to achieve greatness through career development and opportunities.
Position Summary Senior AI Solutions Architect to join Fujitsu’s Data and AI team in North America. This hybrid role combines strategic solution architecture with technical presales and customer success skills. You will work directly with customers to identify opportunities, design AI-driven solutions, and deliver production‑ready systems that solve real-world business challenges across manufacturing, healthcare, utilities, retail, and financial services.
Workstyle: Remote – candidates may be based anywhere in the US or Canada with the ability to travel throughout North America as needed.
Full‑time – consultants will become fulltime employees of Fujitsu North America’s Consulting Team.
Classification: This job posting is to fill an existing vacancy within our organization.
Scope Applicants should have a proven track record of creating innovative data analytics, machine learning, decision intelligence, and data governance solutions to satisfy use cases across industry sectors. Proficiency with cloud platforms, open‑source technology stacks, and emerging data technologies such as AI, computer vision, decision intelligence, structured and unstructured analytics, and augmented data management is required. Visualization and dashboard creation experience is valuable but not sufficient.
This customer‑facing role demands strong problem solving, articulation, and interpersonal skills. You’ll be responsible for opportunity assessment, solution roadmap, design, risk management, and pricing. You will own technical pre‑sales support, solution development, integration, and transition to operations, and collaborate with program and transition managers to hand off solutions to engineering and delivery teams.
What You’ll Do Client Engagement & Problem Solving
Partner with clients and stakeholders to understand business processes, identify opportunities, and define AI‑driven solutions.
Act as a trusted technical advisor, translating complex business needs into scalable data and AI architectures.
Lead client‑facing workshops, presentations, demos, and proof‑of‑concept engagements.
Clearly communicate technical concepts, progress, and outcomes to both technical and non‑technical audiences.
Solution Architecture & Technical Leadership
Design end‑to‑end data, analytics, and AI/ML solutions across cloud and hybrid environments.
Define data architectures including data lakes, warehouses, and real‑time processing systems.
Select and apply appropriate tools, frameworks, and best practices for each engagement.
Lead technical design and guide implementation across multiple projects.
Design and develop machine learning and generative AI solutions using modern frameworks (e.g., PyTorch, scikit‑learn, LLM ecosystems).
Work with big data and distributed systems (e.g., Spark, Kafka, Hadoop ecosystem).
Design/develop cloud‑native solutions using Azure and/or AWS, including serverless and event‑driven architectures.
Contribute to reusable assets, accelerators, and internal best practices.
Collaboration & Delivery Excellence
Work in agile, cross‑functional teams including data scientists, engineers, and developers.
Contribute to a collaborative, knowledge‑sharing team environment.
Manage multiple pursuits and priorities in a fast‑paced setting.
Ensure high‑quality, production‑ready deliverables and strong client satisfaction.
Technical Competences Must have:
Extensive experience (10+ years) designing end‑to‑end data, analytics, and AI solutions.
Experience in designing Machine Learning, Data Science, GenAI, and Agentic AI solutions, including supervised and unsupervised models and multi‑agent architectures.
Experience presenting solutions to customers in pre‑sales or technical sales support roles.
Experience defining and documenting data architecture and modeling across domains.
Experience with relational databases (Oracle, Microsoft SQL Server) and NoSQL databases (MongoDB, Cassandra).
Hands‑on design of end‑to‑end ETL pipelines.
Experience with data security architecture, encryption at rest and in transit.
Experience in master data management and data governance solutions.
Experience with modern data architecture on public and hybrid clouds (Azure, AWS, OpenShift).
Experience with real‑time streaming (pub‑sub, queues).
Experience with big data frameworks (Hadoop, HDFS, Kafka, Spark, MLops).
Experience with analytics and BI platforms for self‑service dashboards.
Proficiency in SQL, PL/SQL, T‑SQL.
Proficiency in object‑oriented languages (C#, Java).
Proficiency in scripting languages (Python, JavaScript).
Experience in UI/UX design.
Good to have:
IoT solutions and integration experience.
CI/CD DevOps for data analytics solutions.
Familiarity with Kubernetes, Docker, and Pivotal Cloud Foundry.
Experience building microservices or serverless solutions.
Experience building RESTful web services.
Soft Skills
Consensus‑building with internal and customer architects.
Professional design documentation and stakeholder presentation.
Articulation of pros and cons of design decisions, acceptance of feedback, and rapid solution delivery.
Strong oral, written, and presentation communication.
Customer engagement initiative and thought leadership.
Compliance with corporate and client data security standards.
Process improvement, challenging conventions, and adopting new methods.
Leadership in a matrixed organization with diplomacy.
Leading and working with on‑shore and off‑shore teams.
Commercial and financial understanding of customer solutions.
Work under pressure and action‑oriented.
Qualifications
Bachelor’s degree in Computer Science or related field, or equivalent work experience.
Minimum 10 years of data/ML engineering and solution experience, ideally in a global environment.
Minimum 3 years of pre‑sales or technical sales support experience.
Mobility and Conditions
Legally entitled to work in North America (US or Canada) with ability to travel throughout both regions as needed.
Fluent in English (speaking/writing). French for Canada is an asset.
Pay & Benefits The pay range for this position is estimated at $152,400.00 to $213,360.00. The role will also be eligible for a short‑term incentive based on company results and individual performance. Benefits include health, financial savings plans, and other company‑wide benefits.
Equal Employment Opportunity Qualified candidates will be considered for employment without regard to race, color, religion, gender identity or orientation, sexual orientation, national origin, genetics, disability, age, or veteran status.
Note Our professional resourcing team may use Artificial Intelligence tools to support in the screening, shortlisting, or preliminary assessment of applications.
Relocation & Visa Relocation Supported: No. Visa Sponsorship Approved: No.
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  • Dallas, Texas, United States

Compétences linguistiques

  • English
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