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Houston, Texas, United States
Hybrid
As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
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
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.
Intelligent Automation & AI Engineering
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.
Solid Experience: 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.
AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services.
Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines.
DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment.
Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns
Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations.
Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models.
Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams.
Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team.
Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations.
Education:
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered.
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.
Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.