Note: The job is a remote job and is open to candidates in USA. Fujitsu is a leading Japanese information and communication technology company, and they are seeking a Senior AI Solutions Architect to join their Data and AI team in North America. This role involves strategic solution architecture, technical presales, and customer success, focusing on designing AI-driven solutions for various industries.
Responsibilities
- 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
- 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
- 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
Skills
- 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
- 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
- Legally entitled to work in North America (US or Canada), with an ability to travel throughout both regions as/when needed
- Language: Fluent in English (speaking / writing). French for Canada would be an asset
- 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
Benefits
- Short-term incentive based on company results and individual performance
- Full range of health, financial savings plans, and other benefits
Company Overview