AI/ML Architect

YO IT Consulting; Plano (TX); Hybrid; Full time

Benefits offered by this job

Competitive salary

Medical, dental, and vision insurance

401(k) with employer matching

Paid vacation, sick leave, and holidays

Life insurance and disability coverage

Health Savings Account (HSA)

Flexible Spending Accounts (FSA)

Employee wellness and support programs

Job summary

A technology consulting firm is seeking a skilled AI/ML Architect to lead the design and development of enterprise-scale AI solutions. The role involves working closely with data scientists and engineering teams to create impactful AI-driven products. Candidates should possess strong skills in machine learning, deep learning, and programming, as well as experience with AI frameworks and cloud platforms. This position is hybrid in Plano, TX, offering competitive compensation and benefits.

Qualifications

• Proven experience as an AI/ML Architect, Machine Learning Engineer, or Data Scientist.
• Experience with big data technologies and data pipeline architecture.
• Strong understanding of production-grade ML system deployment.

Responsibilities

• Design end-to-end AI/ML architectures, including data pipelines and model development.
• Translate business requirements into scalable AI/ML technical solutions.
• Lead and mentor teams of data scientists, ML engineers, and developers.

Skills

Machine Learning

Deep Learning

Natural Language Processing (NLP)

Computer Vision

Agentic AI

Python

R

Java

Docker

Kubernetes

Education

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

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Azure Machine Learning

Google AI Platform

Job description

Location: Plano, TX (Hybrid - 3 days onsite, 2 days remote)

Employment Type: Full-time

Work Authorization: US Citizen or Green Card holders only

Notice Period: Immediate to 15 days preferred

About The Role

We are seeking a highly skilled AI/ML Architect to design and lead the development of enterprise-scale artificial intelligence and machine learning solutions. This role will be responsible for building scalable AI/ML architectures, defining best practices, and guiding cross-functional teams to deliver impactful, production-ready AI-driven products.

You will work closely with business stakeholders, data scientists, and engineering teams to translate business requirements into robust AI/ML systems that integrate seamlessly with enterprise infrastructure.

Key Responsibilities

• Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring
• Translate business requirements into scalable and secure AI/ML technical solutions
• Evaluate, select, and implement AI/ML frameworks, tools, and platforms
• Define best practices, standards, and governance for AI/ML model development and deployment
• Lead and mentor teams of data scientists, ML engineers, and developers
• Ensure AI/ML systems are scalable, secure, maintainable, and production-ready
• Integrate AI/ML models with enterprise applications and IT infrastructure
• Architect and implement cloud-based AI/ML solutions using modern platforms
• Support big data processing, feature engineering, and data pipeline design
• Drive innovation using advanced AI techniques including Agentic AI, NLP, Computer Vision, and Deep Learning

Mandatory Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
• Proven experience as an AI/ML Architect, Machine Learning Engineer, or Data Scientist
• Strong expertise in:
  • Machine Learning and Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Agentic AI architectures
• Hands-on experience with AI/ML frameworks:
  • TensorFlow
  • PyTorch
  • Scikit-learn
• Experience with cloud AI/ML platforms:
  • AWS SageMaker
  • Azure Machine Learning
  • Google AI Platform
• Strong programming skills in Python, R, or Java
• Experience with big data technologies and data pipeline architecture
• Experience with Docker, Kubernetes, and CI/CD pipelines for ML workflows
• Strong understanding of production-grade ML system deployment
• Stable career history (No job hoppers)
• Must be willing to work hybrid in Plano, TX

Preferred Qualifications

• Experience building enterprise-scale AI/ML platforms
• Experience with MLOps tools and frameworks
• Experience integrating AI systems into enterprise applications
• Experience with distributed computing and large-scale data processing
• Strong system design and architecture experience
• Excellent communication, leadership, and mentoring skills

Compensation & Benefits

• Competitive salary
• Medical, dental, and vision insurance
• 401(k) with employer matching
• Paid vacation, sick leave, and holidays
• Life insurance and disability coverage
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Employee wellness and support programs