Cloud AI/ML Architect – AWS/Azure ML

Mogi I/O : OTT/Podcast/Short Video Apps for you; Plano (TX); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Paid vacation

401(k) retirement plan

Medical, dental, and vision insurance

Job summary

A leading AI solutions company is hiring an AI/ML Architect in Texas. The role entails designing scalable AI solutions, mentoring cross-functional teams, and establishing best practices for AI/ML implementation. Candidates should have 12 to 15 years of experience and a relevant degree, with strong skills in machine learning algorithms and AI frameworks. The position offers a hybrid work model with a competitive salary range of 130k-180k USD, along with a comprehensive benefits package.

Qualifications

• 12 to 15 years of experience in AI/ML architecture or related fields.
• Proven track record as an AI/ML Architect or Senior Data Scientist.
• Strong understanding of data pipeline architecture.

Responsibilities

• Design AI/ML system architectures from data ingestion to deployment.
• Collaborate with stakeholders to develop scalable AI/ML solutions.
• Evaluate and recommend AI/ML frameworks based on needs.
• Lead teams in best practices for AI/ML model development and lifecycle.

Skills

Machine learning algorithms

Deep learning

Natural language processing (NLP)

Computer vision

Cloud-based AI/ML platforms

Python

R

Java

Docker

Kubernetes

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Google AI Platform

Azure Machine Learning

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 candidate 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.