Senior Solution Architect - Data, Analytics and AISenior Solution Architect - Data, Analytics and AILocation Flexibility:Multiple Locations in CountryPosting Start Date:7/1/26At Fujitsu, we've been driven to create a sustainable world through innovation since ****.
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We look forward to growing together toward a brighter future.We are seeking a Senior AI Solutions Architect to join Fujitsu's Data and AI team in North America.This hybrid role combinesstrategic 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 industries such as manufacturing, healthcare, utilities, retail, and financial services.Workstyle:Remote - Candidates may be based anywhere in the US or Canada with ability to travel throught North America as/when neededFulltime- Consultants will become fulltime/regular employees of Fujitsu North America's Consulting TeamClassification: This job posting is to fill an existing vacancy within our organization.Scope:Applicants should have a successful track record of creating creative data analytics, machine learning, decision intelligence and data governance solutions to satisfy use cases and business challenges across industry sectors.
The applicants must demonstrate proficiency with cloud service provider platforms, open-source technology platforms, and expertise with a variety of emerging data technologies such as artificial intelligence, computer vision, decision intelligence, structured and unstructured analytics, and augmented data management (including metadata and data governance).
Experience with visualization and dashboard creation is valuable but is not sufficient to demonstrate the thought leadership required in this role.This is a customer-facing role that demands strong problem solving, articulation and interpersonal skills.
You will be responsible for opportunity assessment, solution roadmap, design, risk management, and pricing of opportunities.
You will own technical pre-sales support, solution development, integration and transition to operations.
You will collaborate with program / transition managers to transition the solution design to engineering and technical delivery teams.
You will confidently be able to communicate with and influence key customer decisions makers such as IT Directors, program managers and partners.
The role is expected to carry financial and non-financial performance targets.You will exhibit visionary leadership to evangelize global data, analytics and AI solutions.
You will actively demonstrate leadership in North American sales pursuit opportunities, solution architecture, and offering development by applying a broad understanding of technology and business solutions.You will demonstrate aptitude, pragmatism, self-initiative, and the ability to gain expertise on new technology and solutions with minimal training or overview.
You will work under general direction within a clear framework of accountability.
You will exercise personal responsibility and autonomy.




You will plan your own work and meet given objectives and processes.
You will influence direction of teams and specialist peers internally.
You will create and apply consistent standards, methods, and tools.
You will demonstrate an analytical and systematic approach to problem-solving.
You will communicate orally and in writing fluently and concisely.
You will effectively present complex technical information to both technical and non-technical audiences to enable collaboration between stakeholders.The definition of success for this role is creating creative data, analytics and AI solutions that deliver high value to our clients and that exceed our clients' expectations.What You'll DoClient Engagement & Problem SolvingPartner with clients and stakeholders to understand business processes, identify opportunities, and define AI-driven solutionsAct as a trusted technical advisor, translating complex business needs into scalable data and AI architecturesLead client-facing workshops, presentations, demos, and proof-of-concept engagementsClearly communicate technical concepts, progress, and outcomes to both technical and non-technical audiencesSolution Architecture & Technical LeadershipDesign end-to-end data, analytics, and AI/ML solutions across cloud and hybrid environmentsDefine data architectures including data lakes, warehouses, and real-time processing systemsSelect and apply appropriate tools, frameworks, and best practices for each engagementLead technical design and guide implementation across multiple projectsDesign 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 architecturesContribute to reusable assets, accelerators, and internal best practicesCollaboration & Delivery ExcellenceWork in agile, cross-functional teams including data scientists, engineers, and developersContribute to a collaborative, knowledge-sharing team environmentManage multiple pursuits and priorities in a fast-paced settingEnsure high-quality, production-ready deliverables and strong client satisfactionTechnical CompetencesMust have:Extensive experience (10+ Yrs.) in designing end-to-end data, analytics and AI solutions from ingestion, ETL, storage retrieval, integration, processing, analysis, and presentation.Demonstrated experience in designing Machine Learning, Data Science, GenAI, and Agentic AI solutions including the use of supervised and unsupervised learning models/algorithms.
MCP, RAG, VLM, and multi-agent architecture.Demonstrated expertise creating and presenting solutions to customers in a pre-sales, technical sales support, and/or technical offering roleExtensive experience defining and documenting data architecture, relational and non-relational data modeling (conceptual, logical, and physical) within varying business domains and scenariosExtensive experience with relational databases like Oracle or Microsoft SQL Server and with NoSQL databases like MongoDB,



CassandraHands-on experience designing end-to-end data ETL pipelines and processesExperience with defining data security architecture and standards, encryption at rest, and transitExperience in the design and development of master data management and data governance solutionsExperience in defining modern data architecture on public and hybrid clouds like Azure, AWS, OpenShiftExperience with real-time streaming methodologies like pub-sub, queuesExperience with big data technologies and frameworks like Hadoop, HDFS, Kafka, Spark, MLopsExperience with analytics and business intelligence platforms that provide the ability to design self-service analytics, dashboards, and cubesTechnical proficiency in database languages like SQL, PL/SQL, T-SQLTechnical proficiency in object-oriented programming languages like C#, JavaExperience in User Interface and User Experience designGood to have:Experience with IoT solutions and integration solutionsExperience in CI/CD DevOps for data analytics solutionsAwareness and familiarity with application transformation technologies as Kubernetes, Docker, and Pivotal Cloud FoundryExperience in building solutions based on microservice / serverless architectureExperience in building web services using RESTful frameworkSoft SkillsDeveloping consensus-based solutions with internal and customer architectsCreating professional design documents and presenting the solution to stakeholdersAbility to articulate pros & cons of design decisions, accept corrections and direct the team to rapidly conclude the best possible solutionCommunicating orally, in writing, and in presentation to deliver a concise, thoughtful, and powerful messageInitiates customer engagement and demonstrates thought leadershipMaintaining and enforcing compliance with corporate and client enterprise and data security standardsProactively identifying process improvement opportunities, challenging conventional practices and adopting new methods and best practices.Demonstrating leadership skills and the ability to interact and lead people in a matrixed organization – tact and diplomacy are essential attributesLeading and working with on-shore and off-shore teams to achieve project goals and milestonesUnderstanding of commercial and financial aspects of creating customer solutionsAbility to work under pressure and demonstrably action orientatedQualificationsBachelor's degree in Computer Science or a related field, or equivalent work experience.Minimum 10 years of Data/ ML engineer and solution experience, ideally in a global environment.A minimum of 3 years of pre-sales or technical sales support experienceMobility and Conditions(Travel, work environment, physical demands, certificates, licenses, etc.)Legally entitled to work in North America (US or Canada), with an ability to travel throughout both regions as/when needed.
(Some global travel to other regions may at some point be required).
Language: Fluent in English (speaking / writing).
French for Canada would be an asset.Fujitsu is the leading Japanese information and communication Technology Company and a leading provider of IT products and services including hardware, software, networking and business solutions to customers in more than 100 countries.
We are known for our ability to harness the power of IT for our clients and to build innovative practices and solutions.
At Fujitsu, you will find a dynamic work workplace with multidisciplinary teams
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📌 Senior Solution Architect - Data, Analytics And Ai (Melbourne)
🏢 Americas Region
📍 Melbourne