✦ Luna Orbit — AI & Machine Learning

Automation Lead Software Engineer: AI and machine learning

at Wells Fargo

📍 2 Locations Unknown Posted March 14, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

About this role

This role involves leading the development and deployment of enterprise-grade machine learning solutions, focusing on cloud integration, model optimization, and large data system management.

Key Responsibilities

  • Lead ML projects
  • Develop customer-facing solutions
  • Optimize models
  • Collaborate with technical teams
  • Implement AI pipelines

Technical Overview

The technical environment includes Python, cloud platforms (AWS, Azure, GCP), containerization with Docker and Kubernetes, RESTful APIs, message queues, and Infrastructure as Code tools like Ansible.

Ideal Candidate

The ideal candidate is a mid-level AI/ML engineer with 3+ years experience in developing customer-facing machine learning solutions, proficient in Python, and experienced with cloud platforms like AWS, Azure, or GCP. They should have strong skills in model tuning, debugging, and working with large data systems.

Must-Have Skills

5+ years of Software Engineering experience3+ years of experience developing customer-facingproduction-grade machine learning solutions3+ years of experience with PythonExperience tuningvalidatingoptimizingvisualizingand debugging models3+ years of large data systems and cloud computing

Nice-to-Have Skills

Experience with cloud platforms (e.g.AWSAzureGCP)Experience with containerization and orchestration (DockerKubernetesOpenshift)Strong knowledge of RESTful API designExperience with asynchronous programming (asyncio)Experience with message queues (RabbitMQKafka)Experience with CI/CD pipelines (JenkinsGitLab CIGitHub Actions)Experience with GraphQLExperience using Infrastructure as Code tools (Ansible)

Tools & Platforms

Tachyon GenAI StudioAnsibleTerraformJenkinsGitLab CIGitHub Actions

Required Skills

PythonML Frameworkscloud platformsAWSAzureGCPDockerKubernetesRESTful APIasynciomessage queuesRabbitMQKafkaCI/CD pipelinesJenkinsGraphQLInfrastructure as CodeAnsible

Hard Skills

PythonPython and ML FrameworksML Frameworkscloud platformsAWSAzureGCPDockerKubernetesRESTful APIasynciomessage queuesRabbitMQKafkaCI/CD pipelinesJenkinsGitLab CIGitHub ActionsGraphQLInfrastructure as CodeAnsible

Soft Skills

problem-solvingcollaborationcommunicationleadershipteamwork

Industry & Role

Industry Financial Services
Job Function Develop and deploy machine learning solutions in a cloud environment
Role Subtype AI Engineer
Tech Domains Python, Amazon Web Services, Azure, Google Cloud Platform, Kubernetes, Docker, RESTful API, ML Frameworks

Keywords for Your Resume

software engineeringmachine learningPythonML frameworkscloud platformsAWSAzureGCPDockerKubernetesRESTful APIasynciomessage queuesRabbitMQKafkaCI/CD pipelinesJenkinsGraphQLInfrastructure as CodeAnsibleCI/CDAPI design

Deal Breakers

Lack of experience with cloud platforms, Less than 3 years of experience in ML solutions, No experience with Python or ML frameworks, No experience with cloud computing or large data systems

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