Artificial Intelligence Specialist

Programmers.io; Torrance (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Programmers.io is seeking a senior engineer specializing in AI/ML and cloud architecture in Torrance, California. The role demands over 10 years of relevant experience, especially in AWS services.

The ideal candidate will lead engineering activities and develop scalable AI solutions, while mentoring teams and ensuring high coding standards. Excellent communication skills are essential as you will engage both technical and executive stakeholders.

Qualifications

• 10+ years of experience in AI/ML, data engineering, or cloud architecture.
• Hands-on experience with AWS AI/ML services.
• Experience mentoring teams and enforcing coding standards.

Responsibilities

• Design and build robust, scalable, and secure AI solutions on AWS.
• Lead hands-on engineering activities, including solution design and implementation.
• Provide technical oversight and leadership across AI initiatives.

Skills

AI/ML experience

AWS services

Python

SQL

ML frameworks

Infrastructure as Code

Leadership skills

Communication skills

Tools

AWS CDK

Terraform

CloudFormation

Job description

• 10+ years of experience in AI/ML, data engineering, or cloud architecture
• Hands‑on experience with AWS AI/ML services including SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, and Lake Formation
• Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit‑learn)
• Experience with Infrastructure as Code tooling: AWS CDK, Terraform, CloudFormation
• Demonstrated ability to review, refactor, and improve developer code
• Knowledge of software engineering principles, design patterns, and testing practices
• Experience mentoring teams and enforcing coding standards
• Leadership and advisory skills
• Excellent communication skills with the ability to engage technical and executive stakeholders
• Experience in consulting, customer advisory, or enterprise architecture roles
• Ability to translate technical concepts into business value
• Design and build robust, scalable, and secure AI solutions on AWS
• Develop AI systems aligned with AWS best practices and architecture standards
• Lead hands‑on engineering activities, including solution design and implementation
• Review and improve code quality, system design, and engineering practices
• Mentor teams and guide them on AI/ML and cloud engineering best practices
• Support customers in the AI transformation journey
• Provide technical oversight and leadership across AI initiatives
• Ensure AI solutions meet performance, scalability, and compliance requirements