Senior Solution Architect - Data, Analytics and AI

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We are seeking a 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 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 needed

• Fulltime - Consultants will become fulltime/regular 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 successful track record of creating innovative 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 be confidently 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 innovative data, analytics and AI solutions that deliver high value to our clients and that exceed our clients’ expectations.

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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+ 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 role
• Extensive experience defining and documenting data architecture, relational and non-relational data modeling (conceptual, logical, and physical) within varying business domains and scenarios
• Extensive experience with relational databases like Oracle or Microsoft SQL Server and with NoSQL databases like MongoDB, Cassandra
• Hands-on experience designing end-to-end data ETL pipelines and processes
• Experience with defining data security architecture and standards, encryption at rest, and transit
• Experience in the design and development of master data management and data governance solutions
• Experience in defining modern data architecture on public and hybrid clouds like Azure, AWS, OpenShift
• Experience with real-time streaming methodologies like pub-sub, queues
• Experience with big data technologies and frameworks like Hadoop, HDFS, Kafka, Spark, MLops
• Experience with analytics and business intelligence platforms that provide the ability to design self-service analytics, dashboards, and cubes
• Technical proficiency in database languages like SQL, PL/SQL, T-SQL
• Technical proficiency in object-oriented programming languages like C#, Java
• Technical proficiency in scripting languages like Python, JavaScript
• Experience in User Interface and User Experience design

Good to have:

• Experience with IoT solutions and integration solutions
• Experience in CI/CD DevOps for data analytics solutions
• Awareness and familiarity with application transformation technologies as Kubernetes, Docker, and Pivotal Cloud Foundry
• Experience in building solutions based on microservice / serverless architecture
• Experience in building web services using RESTful framework

Soft Skills

• Developing consensus-based solutions with internal and customer architects
• Creating professional design documents and presenting the solution to stakeholders
• Ability to articulate pros & cons of design decisions, accept corrections and direct the team to rapidly conclude the best possible solution
• Communicating orally, in writing, and in presentation to deliver a concise, thoughtful, and powerful message
• Initiates customer engagement and demonstrates thought leadership
• Maintaining and enforcing compliance with corporate and client enterprise and data security standards
• Proactively 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 attributes
• Leading and working with on-shore and off-shore teams to achieve project goals and milestones
• Understanding of commercial and financial aspects of creating customer solutions
• Ability to work under pressure and demonstrably action orientated

Qualifications

• Bachelor’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 experience

Mobility 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 environment with multidisciplinary teams involved in stimulating projects. Fujitsu is where you can pursue your full career potential. We enable our employees to grow as individuals, mature as industry professionals and proudly succeed as key members of the Fujitsu team.

At Fujitsu, one of our corporate principles is "We respect human rights". This principle underpins all our corporate and individual activities and guides the actions of every member of the Fujitsu Group. We embrace diversity and equal opportunity. Qualified candidates will be considered for employment without regard to race, color, religion, gender, gender identity or orientation, sexual orientation, national origin, genetics, disability, age or veteran status. By empowering people, we can unleash our collective strengths to create a better experience for our employees, customers, and partners.

As we are looking for a remote position, the disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  Fujitsu aligns salaries to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $152,400.00 USD to $213,360 USD. Additionally, this role will be eligible for a short-term incentive based on company results and individual performance. 

As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, financial savings plans, and other benefits.

Note: While our professional resourcing team is responsible for the interviewing and selection of qualified candidates, Fujitsu may use Artificial Intelligence (AI) tools to support in the screening, shortlisting, or preliminary assessment of applications 

#Americas_Priority

At Fujitsu, we are committed to an inclusive recruitment process that values the diverse backgrounds and experiences of all applicants. We believe that hiring people from a wide variety of backgrounds makes us stronger, not because it's the right thing to do, but because it allows us to draw on a wider range of perspectives and life experiences.