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Xebia · 1 week ago

Data & AI Architect

Seattle, WA

Full-time

Onsite

Senior Level, Lead/Staff

10+ years exp

Xebia is a global consulting company with over 20 years of experience in delivering cutting-edge technology and consulting services. The Data & AI Architect role is responsible for defining the architecture for data and AI solutions, ensuring alignment with business objectives and technical standards while collaborating with various stakeholders.

AnalyticsBig DataCloud ComputingConsultingDevOpsGenerative AIInformation TechnologyRobotic Process Automation (RPA)Software

H1B Sponsor Likely

Responsibilities

Design end-to-end data and AI architectures that encompass data ingestion, storage, processing, analytics, and machine learning

Define data pipelines, ETL/ELT frameworks, and model deployment architectures on cloud and hybrid environments

Architect solutions leveraging cloud-native AI services (AWS SageMaker, Azure AI, Google Vertex AI) and open-source frameworks (TensorFlow, PyTorch, MLflow)

Ensure scalability, performance, and cost optimization across all layers of the data and AI stack

Create reference architectures and blueprints to standardize solution delivery across global projects

Design and oversee implementation of data lakes, data warehouses, and lakehouse architectures using modern data platforms (Databricks, Snowflake, BigQuery, Synapse)

Define data modeling standards, metadata management, and master data management (MDM) frameworks

Collaborate with data engineers to ensure data pipelines are optimized for AI workloads and real-time analytics

Implement data quality, lineage, and observability frameworks to ensure trust and reliability in data assets

Architect AI/ML pipelines from data preparation to model training, validation, and deployment (MLOps)

Integrate AI models into enterprise applications using APIs, microservices, and event-driven architectures

Evaluate and recommend AI frameworks and tools for specific business use cases, including NLP, computer vision, and generative AI

Collaborate with data scientists and ML engineers to ensure models are production-ready, explainable, and compliant

Implement data governance frameworks aligned with corporate and regulatory standards (GDPR, CCPA, HIPAA)

Define AI governance policies for model lifecycle management, fairness, and accountability

Ensure data security and privacy through encryption, access controls, and secure data sharing mechanisms

Participate in architecture review boards to validate compliance and best practices across projects

Work closely with client stakeholders to understand business challenges and translate them into data-driven AI solutions

Lead technical discovery sessions, solution workshops, and proof-of-concepts (POCs)

Support pre-sales and proposal development, providing architecture inputs, effort estimation, and technical documentation

Guide global delivery teams in solution implementation, performance tuning, and troubleshooting

Stay current with emerging technologies in data engineering, AI, and cloud ecosystems

Contribute to the development of accelerators, reusable assets, and frameworks for faster solution deployment

Mentor junior architects and engineers, fostering a culture of technical excellence and innovation

Participate in industry forums and technology partnerships to enhance the company’s market positioning

Qualification

Data PlatformsCloud PlatformsAI/ML ToolsData IntegrationProgrammingDevOps/MLOpsStakeholder managementSolution storytellingCommunication

Required

Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Experience: 10+ years in data and analytics, with at least 5 years in architecture roles across large-scale enterprise or SI environments

Technical Skills: Data Platforms: Snowflake, Databricks, BigQuery, Synapse, Redshift

Cloud Platforms: AWS, Azure, Google Cloud (multi-cloud experience preferred)

AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow

Data Integration: Apache Spark, Kafka, Airflow, Informatica, Talend

Programming: Python, SQL, Scala, Java

DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, Terraform

Soft Skills: Strong communication, stakeholder management, and solution storytelling capabilities

Benefits

Medical, Dental and Vision Insurance (Subsidized)

Flexible Spending Accounts (Healthcare and Dependent Care)

Short-Term and Long-Term Disability

Life and AD&D Insurance

Assistance Program

Matched 401(k) Retirement Savings Plan

Paid Time Off

Company

Xebia

Glassdoor3.6

Xebia is specialist op het gebied van Agile, Test Automation, Continuous Delivery, Architecture en Modern Software Development

Founded in 2001

Hilversum, Noord-Holland, NLD

5001-10000 employees

https://www.xebia.com

H1B Sponsorship

Xebia has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (71)

2024 (24)

2023 (35)

2022 (23)

2021 (10)

2020 (9)