Senior AI/ML Software Lead — Python, Databricks, AWS

ARCHER; Atlanta (GA); Presencial; USD 130.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Descripción de la vacante

ARCHER seeks a technically skilled leader to design, develop, test, and maintain secure software products. You will guide responsible AI-assisted engineering and influence product design, operations, and engineering practices across teams.

The role requires formal software engineering training and 5+ years delivering system design, development, testing, and stability with advanced skills in Python, PySpark, Databricks, AI, AWS, and cloud-native approaches.

Formación

• Formal training or certification in software engineering concepts.
• At least five years of applied experience delivering system design, application development, testing, and operational stability.
• Advanced skills in Python, PySpark, Databricks, agentic AI or generative AI, AWS, and large language models, with practical cloud-native experience.

Responsabilidades

• Lead design, development, testing, and maintenance of secure, high-quality software products.
• Promote responsible, governed use of AI-assisted engineering tools and automation across teams.
• Influence product design, technical operations, and engineering practices.

Conocimientos

Python

PySpark

Databricks

Agentic AI

Generative AI

AWS

Large Language Models

AI-Assisted Software Development

Software Design

Application Development

Testing

Cloud-Native Development

Secure Coding

Code Review

Operational Stability

Responsible AI

Educación

Formal training or certification in software engineering concepts

Herramientas

AWS

Databricks

Descripción del empleo

ARCHER seeks a technically skilled leader to design, develop, test, and maintain secure software products. You will guide responsible AI-assisted engineering and influence product design, operations, and engineering practices across teams.

The role requires formal software engineering training and 5+ years delivering system design, development, testing, and stability with advanced skills in Python, PySpark, Databricks, AI, AWS, and cloud-native approaches.