AI Architect

Job DescriptionJob DescriptionBenefits:

• Flexible schedule
• Help or transport service
• Training & development

AI Architect (Hybrid - Richardson, Texas)

General Information

Description: The AI Architect is responsible for developing and implementing artificial

intelligence solutions to solve complex problems and enhance business operations. This role

works closely with cross-functional teams to design, develop, and deploy AI models and

algorithms that enable data-driven decision making. The AI Architect is an expert in machine

learning, deep learning, and data analysis and creates intelligent systems that automate

processes, improve efficiency, and drive business innovation.

Target Start Date Feb 1, 2024

Schedule 8:00 AM to 5:00 PM CST

Duration 6 Months

Responsibilities

Collaborating with cross-functional teams to define AI project requirements and
objectives, ensuring alignment with overall business goals.

Conducting research to stay up-to-date with the latest advancements in generative AI,
machine learning, and deep learning techniques and identify opportunities to integrate
them into our products and services.

Optimizing existing generative AI models for improved performance, scalability, and
efficiency.

Creates, implements, and deploys AI solutions in business environments, considering
scalability, reliability, and security

Assists in collecting and cleaning relevant datasets to ensure their suitability for
machine learning tasks

Performs thorough testing and evaluation of AI models to ensure their performance
meets the desired business objectives

Continuously monitors and optimizes the performance of deployed AI systems, making
necessary improvements and updates

Stays updated with the latest advancements in AI and ML technologies to identify their
potential applications in the organization

Collaborates with data scientists, software engineers, and other stakeholders to
integrate AI capabilities into existing systems and workflows

Job Requirements

Education

A bachelor's degree in computer science, data science, software engineering, or related
field

Experience

At least five years of experience with AI data science, ML engineering, or data analytics

At least two years of experience designing and implementing AI solutions with a focus
on machine learning, recommendation systems, pattern recognition, NLP, or data
mining

Experience on projects involving big data processing and distributed computing
frameworks such as Apache Spark

Experience with Azure Open AI Models, Amazon Bedrock/SageMaker/Q, Microsoft CoPilot, etc

Skills

Expert knowledge of machine learning techniques, including supervised and
unsupervised learning, reinforcement learning, and deep learning

Proficiency in programming languages such as Python, R, JavaScript, and C++

Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch

Familiarity with cloud platforms, such as AWS, Azure and GCP, and their relevant AI
services

Familiarity with data engineering concepts, including data pipelines, data integration,
and data warehousing

Ability to work with large datasets and perform data cleaning, transformation, and
manipulation

Strong analytical and creative problem-solving skills

Ability to effectively communicate technical information to business executives

Adaptability and willingness to learn new AI technologies and techniques

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