Lead AI Enterprise Data Engineer – eCommerce

Job highlights Identified by Google from the original job post Qualifications • Experience: 12 to 15 Years • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field • Proven experience working as an AI/ML Architect, Machine Learning Engineer, or Senior Data Scientist • Strong hands-on expertise in machine learning algorithms, deep learning, natural language processing (NLP), and computer vision • Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or equivalent • Experience with cloud-based AI/ML platforms including AWS SageMaker, Google AI Platform, or Azure Machine Learning • Strong understanding of data engineering concepts, big data technologies, and data pipeline architecture • Advanced programming skills in Python, R, or Java • Practical experience with containerization and orchestration tools such as Docker and Kubernetes • Familiarity with CI/CD pipelines and MLOps practices for model deployment and lifecycle management • Soft Skills & Competencies • Strong analytical thinking and problem-solving capabilities • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders • Proven leadership and mentoring abilities in cross-functional technical teams • Ability to manage multiple priorities and deliver solutions in a fast-paced environment • High standards of professionalism, accountability, and technical integrity • 13 more items(s) Benefits • Compensation Range: USD 130000 - 180000 • Full-time employees are eligible for a comprehensive benefits package, including: • Paid vacation, sick leave, and company-recognized holidays • 401(k) retirement plan with employer matching • Medical, dental, and vision insurance coverage • Life insurance, disability coverage, and voluntary benefit options • Health Savings Account (HSA) and Flexible Spending Accounts (FSA) • Benefits may vary based on employment type and location • 5 more items(s) Responsibilities • This role will be responsible for defining end-to-end AI/ML architectures, selecting the right technologies, and guiding cross-functional teams to build high-impact, AI-driven products • The ideal candidate brings deep technical expertise, strong architectural vision, and the ability to translate complex business requirements into robust AI/ML solutions • Design and define end-to-end AI/ML system architectures, including data ingestion, pipelines, model development, deployment, and performance monitoring • Collaborate closely with business stakeholders to understand objectives and convert them into scalable technical AI/ML solutions • Evaluate, recommend, and standardize AI/ML frameworks, tools, and platforms based on business and technical needs • Establish best practices, governance standards, and architectural guidelines for AI/ML model development, testing, deployment, and lifecycle management • Lead, mentor, and provide technical guidance to data scientists, ML engineers, and software developers throughout solution implementation • Ensure AI/ML solutions are scalable, secure, reliable, and maintainable across environments • Oversee seamless integration of AI/ML models with existing enterprise systems, applications, and IT infrastructure • Monitor solution performance and drive continuous improvements in model efficiency, accuracy, and operational stability • 7 more items(s) More job highlights Job description Overview

We are seeking an experienced and innovative AI/ML Architect to design, lead, and deliver scalable artificial intelligence and machine learning solutions aligned with business objectives.

This role will be responsible for defining end-to-end AI/ML architectures, selecting the right technologies, and guiding cross-functional teams to build high-impact, AI-driven products.

The ideal candid...ate brings deep technical expertise, strong architectural vision, and the ability to translate complex business requirements into robust AI/ML solutions.

Role details

Role Location: Texas, USA

Work Model: Hybrid (In-office / Remote)

Employment Type: Full-Time

Compensation Range: USD 130000 - 180000

Experience: 12 to 15 Years

Key Responsibilities

• Design and define end-to-end AI/ML system architectures, including data ingestion, pipelines, model development, deployment, and performance monitoring.

• Collaborate closely with business stakeholders to understand objectives and convert them into scalable technical AI/ML solutions.

• Evaluate, recommend, and standardize AI/ML frameworks, tools, and platforms based on business and technical needs.

• Establish best practices, governance standards, and architectural guidelines for AI/ML model development, testing, deployment, and lifecycle management.

• Lead, mentor, and provide technical guidance to data scientists, ML engineers, and software developers throughout solution implementation.

• Ensure AI/ML solutions are scalable, secure, reliable, and maintainable across environments.

• Oversee seamless integration of AI/ML models with existing enterprise systems, applications, and IT infrastructure.

• Monitor solution performance and drive continuous improvements in model efficiency, accuracy, and operational stability.

Qualifications & Experience

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• Proven experience working as an AI/ML Architect, Machine Learning Engineer, or Senior Data Scientist.

• Strong hands-on expertise in machine learning algorithms, deep learning, natural language processing (NLP), and computer vision.

Technical Skills

• Proficiency in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or equivalent.

• Experience with cloud-based AI/ML platforms including AWS SageMaker, Google AI Platform, or Azure Machine Learning.

• Strong understanding of data engineering concepts, big data technologies, and data pipeline architecture.

• Advanced programming skills in Python, R, or Java.

• Practical experience with containerization and orchestration tools such as Docker and Kubernetes.

• Familiarity with CI/CD pipelines and MLOps practices for model deployment and lifecycle management.

Soft Skills & Competencies

• Strong analytical thinking and problem-solving capabilities.

• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

• Proven leadership and mentoring abilities in cross-functional technical teams.

• Ability to manage multiple priorities and deliver solutions in a fast-paced environment.

• High standards of professionalism, accountability, and technical integrity.

Benefits & Rewards

• Full-time employees are eligible for a comprehensive benefits package, including:

• Paid vacation, sick leave, and company-recognized holidays

• 401(k) retirement plan with employer matching

• Medical, dental, and vision insurance coverage

• Life insurance, disability coverage, and voluntary benefit options

• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)

• Benefits may vary based on employment type and location. Show full description Report this listing Loading...