Principal Automation & AI Engineer

Invesco Ltd. • Houston, TX

1d • Hybrid

About The Position

The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights.

Requirements

• Minimum 6–9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions.
• Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services.
• Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines.
• Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment.
• Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns
• Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations.
• Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models.
• Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams.
• Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team.
• Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations.

Nice To Haves

• Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus.
• Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial.

Responsibilities

• Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams.
• Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations.
• Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making.
• Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms.
• Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends.
• Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions.

Benefits

• Flexible paid time off
• Hybrid work schedule
• 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
• Health & wellbeing benefits
• Parental Leave benefits
• Employee stock purchase plan

What This Job Offers

• Job Type: Full-time
• Career Level: Principal