AI/ML Data Architect

at  NTT Data

About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA’s Client is currently seeking a highly skilled AI/ML Data Architect to design and implement scalable data architectures that support AI and machine learning workloads. The ideal candidate will have expertise in big data technologies, cloud platforms, data pipelines, and AI/ML model deployment. You will work closely with data scientists, engineers, and business stakeholders to create a robust data ecosystem that enables advanced analytics and AI-driven decision-making.
Key Responsibilities
Data Architecture & Strategy
Design and implement scalable, high-performance data architectures for AI/ML applications.
Develop data governance, security, and compliance frameworks for AI/ML data ecosystems.
Define and implement data integration, processing, and storage best practices.
AI/ML Data Engineering
Build end-to-end data pipelines to support AI/ML model training, inference, and monitoring.
Optimize data ingestion, transformation, and feature engineering for ML models.
Implement data versioning, lineage, and metadata management.
Cloud & Big Data Technologies
Design AI/ML data solutions on AWS, Azure, or GCP.
Utilize big data technologies such as Apache Spark, Hadoop, Kafka, and Delta Lake.
Implement serverless architectures, containerized workloads (Kubernetes, Docker), and MLOps frameworks.
AI Model Deployment & MLOps
Work with ML engineers and data scientists to deploy AI/ML models at scale.
Establish MLOps best practices, including automated model retraining, monitoring, and CI/CD pipelines.
Ensure models are efficient, explainable, and compliant with enterprise policies.
Security, Compliance & Performance Optimization
Implement data security, access controls, and compliance with GDPR, HIPAA, and other regulations.
Optimize data storage, retrieval, and compute performance for AI/ML workloads.
Ensure high availability, disaster recovery, and fault tolerance of AI data pipelines.
Collaboration & Thought Leadership
Work closely with data scientists, engineers, and business leaders to align AI/ML strategies with business goals.
Provide technical leadership and mentorship to teams working on AI/ML solutions.
Stay updated with emerging AI/ML, data engineering, and cloud technologies.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or a related field.
5+ years of experience in data architecture, data engineering, or AI/ML infrastructure.
Expertise in big data technologies (Spark, Kafka, Hadoop, Delta Lake, etc.).
Proficiency in cloud platforms (AWS, Azure, or GCP) and data services.
Strong knowledge of SQL, Python, Scala, or Java.
Hands-on experience with AI/ML model deployment, MLOps, and CI/CD.
Experience with Kubernetes, Docker, and serverless computing.
Strong understanding of data governance, security, and compliance.
Preferred Certifications
AWS Certified Data Analytics – Specialty
Google Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate
Databricks Certified Data Engineer
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Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $49.65 to $114.93. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits

Please refer the Job description for details