Hybrid Data & Analytics Solution Architect (AI/MLOps)

Genpact Ltd.; Región Centro; Hybrid; MXN 900,000 - 1,300,000; Full time

Job summary

Genpact Ltd. is seeking a Solution Architect - Data and Analytics to lead the design of AI and data solutions for global enterprises in a fast-moving, innovation-driven environment.

You will shape use cases, define ML solution architectures, and oversee MLOps lifecycles across cloud and edge deployments. The role requires strong foundations in data science, data management, and enterprise architecture, with hands-on experience in BI, big data, cloud computing, and governance.

Qualifications

• Bachelor's degrees in Business Analytics, Computer Science and Statistics.
• Master's degree in Data Science.
• Certifications: Certified Data Management Professional - Riversand.
• IBM Certified Solution Developer - WebSphere DataStage Enterprise Edition v7.5.
• Informatica Certified Administrator - Informatica.
• TOGAF 9 Certification - The Open Group Architecture Framework.

Responsibilities

• Shape and prioritise use cases like predictive quality, yield, anomaly detection, and forecasting.
• Define ML solution architecture: data pipelines, training, evaluation, deployment and API integration.
• Define MLOps approach: experiment tracking, model registry, CI/CD, retraining, monitoring drift and data quality.
• Set evaluation standards and acceptance thresholds with the business.
• Estimate and manage compute, storage and run costs; design for scalability and reliability.

Skills

Big Data

BI

Cloud Computing

Collaboration Tools

Database Management

Data Integration

Data Management

Master Data Management

Metadata Management

Solution Architecture

English Proficiency

Education

Bachelors - Business Analytics

Bachelors - Computer Science

Bachelors - Statistics

Masters - Data Science

Tools

TOGAF

Data Management Professional - Riversand

IBM Certified Solution Developer - WebSphere DataStage

Informatica Certified Administrator

Job description

Genpact Ltd. is seeking a Solution Architect - Data and Analytics to lead the design of AI and data solutions for global enterprises in a fast-moving, innovation-driven environment.

You will shape use cases, define ML solution architectures, and oversee MLOps lifecycles across cloud and edge deployments. The role requires strong foundations in data science, data management, and enterprise architecture, with hands-on experience in BI, big data, cloud computing, and governance.