Principal AI & Automation Engineer – Cloud & Ops

Invesco Ltd.; Atlanta, Northern (TX, KY); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching up to 6%

Health & wellbeing benefits

Parental Leave

Employee stock purchase plan

Job summary

Invesco Ltd. is seeking a Principal Automation & AI Engineer to lead the development of automation, AI, analytics, and operational intelligence across a global technology landscape.

You will drive reliability, governance, and cost optimization while delivering scalable engineering solutions and data-driven insights. Responsibilities include designing enterprise automation, deploying AI-powered workflows, and establishing standards, security controls, and governance for automation initiatives.

Qualifications

• Minimum 6–9 years in automation engineering, with at least 3 years in RPA/AI or intelligent automation.
• Strong programming skills in Python, C#, .NET; experience with REST APIs and data pipelines.
• Experience building and deploying AI/ML models; familiarity with CI/CD and DevOps for automation.

Responsibilities

• Design, develop, test, and deploy RPA workflows and AI/ML models for enterprise use.
• Create scalable automation across cloud, infrastructure, service management, asset management, and cloud financial operations.
• Build AI-powered workflows and intelligent agents to automate routines and improve decision-making.

Skills

Automation engineering

RPA

AI/ML

Python

C#

REST APIs

Microservices

Data pipelines

CI/CD

Git

Cloud platforms

ServiceNow

ITSM

Agile/Scrum

Documentation

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure AI services

Job description

Invesco Ltd. is seeking a Principal Automation & AI Engineer to lead the development of automation, AI, analytics, and operational intelligence across a global technology landscape.

You will drive reliability, governance, and cost optimization while delivering scalable engineering solutions and data-driven insights. Responsibilities include designing enterprise automation, deploying AI-powered workflows, and establishing standards, security controls, and governance for automation initiatives.