Senior Lead Software Engineer - AI/ML/Databricks/Python (Consumer & Community Banking)

ARCHER; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Health insurance

On-site wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

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

Education

Formal training or certification in software engineering concepts

Tools

AWS

Databricks

Job description

Provide technical leadership and guidance while designing, developing, testing, and maintaining secure, high-quality software products. Promote responsible, governed use of AI-assisted engineering tools and automation, and influence product design, technical operations, and engineering practices across teams.

Requirements: Requires formal training or certification in software engineering concepts and at least five years of applied experience delivering system design, application development, testing, and operational stability. Candidates should have advanced skills in one or more of Python, PySpark, Databricks, agentic AI or generative AI, AWS, and large language models, along with practical cloud-native experience and the ability to guide secure, responsible use of AI development tools.

Key Skills: 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

Benefits: Health Care Coverage, On-Site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support, Financial Coaching