Senior Solution Architect - Data, Analytics and AI (Dallas)

Dallas, Texas (Remote eligible – Candidates may be based anywhere in the US or Canada with ability to travel throughout North America as/when needed).

Senior AI Solutions Architect – Data and AI team, North America. A hybrid role combining strategic solution architecture with technical pre‑sales 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.

• Remote – Candidates may be based anywhere in the US or Canada with the ability to travel throughout North America as/when needed.
• Full‑time – Consultants will become full‑time/regular employees of Fujitsu North America’s Consulting Team.
• Classification: an existing vacancy within the organization.

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 role 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, collaborating with program and transition managers to deliver the solution to engineering and technical delivery teams.

• 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.
• Choose 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 such as PyTorch, scikit‑learn, and LLM ecosystems.
• Work with big data and distributed systems such as Spark, Kafka, and the Hadoop ecosystem.
• Design and 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.

• 10+ years designing end‑to‑end data, analytics, and AI solutions from ingestion to presentation.
• Experience designing Machine Learning, Data Science, GenAI, and Agentic AI solutions using supervised and unsupervised learning models/algorithms, including MCP, RAG, VLM, and multi‑agent architecture.
• Proven pre‑sales or technical sales support experience presenting solutions to customers.
• Extensive experience defining and documenting data architecture, relational and non‑relational data modeling across domains.
• Expertise with relational databases such as Oracle or Microsoft SQL Server and NoSQL databases such as MongoDB, Cassandra.
• Hands‑on experience designing end‑to‑end data ETL pipelines.
• Experience defining data security architecture and standards, encryption at rest and in transit.
• Experience designing master data management and data governance solutions.
• Experience defining modern data architecture on public and hybrid clouds such as Azure, AWS, OpenShift.
• Experience with real‑time streaming methodologies such as Pub/Sub and queues.
• Experience with big data technologies and frameworks such as Hadoop, HDFS, Kafka, Spark, MLOps.
• Experience with analytics and BI platforms that enable self‑service analytics, dashboards, and cubes.
• Technical proficiency in database languages: SQL, PL/SQL, T‑SQL.
• Technical proficiency in object‑oriented programming languages: C#, Java.
• Technical proficiency in scripting languages: Python, JavaScript.
• Experience in User Interface and User Experience design.

• Experience with IoT solutions and integration.
• Experience in CI/CD DevOps for data analytics solutions.
• Familiarity with application transformation technologies such as Kubernetes, Docker, and Pivotal Cloud Foundry.
• Experience building microservice or serverless architecture solutions.
• Experience building web services using RESTful frameworks.

• Consensus‑building with internal and customer architects.
• Developing professional design documents and presenting solutions to stakeholders.
• Articulating pros and cons of design decisions, accepting corrections and guiding teams to conclude optimal solutions.
• Communicating orally, in writing, and in presentation to deliver concise, thoughtful, and powerful messages.
• Initiating customer engagement and demonstrating 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 ability to interact and lead people in a matrixed organization – tact and diplomacy are essential.
• Leading and working with on‑shore and off‑shore teams to achieve project goals and milestones.
• Understanding commercial and financial aspects of creating customer solutions.
• Ability to work under pressure and remain action‑oriented.

• Bachelor’s degree in Computer Science or a 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.

• Legally entitled to work in North America (US or Canada) with ability to travel throughout both regions as/when needed. Some global travel to other regions may be required.
• Fluent in English (speaking/write). French for Canada is an asset.

The pay range for this position is estimated at $152,400.00 to $213,360.00 and will be eligible for a short‑term incentive based on company results and individual performance.

Fujitsu is an equal opportunity employer and will consider qualified candidates without regard to race, color, religion, gender, gender identity or orientation, sexual orientation, national origin, genetics, disability, age, or veteran status. Women and minorities are encouraged to apply.