Applications Developer II AI; REMOTE

When you join the team at Cordis, you become part of an inspiring mission to save lives, impacting millions of people and broadening access to life-saving cardiovascular and endovascular technology. As a global leader for over 60 years, we are dedicated to being the heart of innovation to transform cardiovascular care.

At Cordis, we're teammates, not just employees. We embrace an empowered and one-team culture where teammates are inspired to unleash their full potential. With diverse teams on a global scale, we believe the richness of our experiences and backgrounds enhances the careers of our teammates, the service to our customers, and ultimately, the lives of our patients.

If you love a challenge and are ready to have a direct, transformative and positive impact on the lives of millions, then Cordis is just the place for you.

We are the people behind the people who keep saving lives.

Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.

Job Summary - Applications Developer II - AI & Automation

The Applications Developer II - AI & Automation role supports the design, development, implementation, and ongoing enhancement of AI-enabled applications, intelligent automations, and digital solutions across the organization.

This role uses technologies such as Airtable, Microsoft Power Automate, Power Apps, AI platforms such as Codex, APIs, low-code/no-code development tools, and emerging AI technologies to automate business processes, improve employee productivity, enhance decision-making, and reduce manual work.

The Applications Developer II partners with business and IT stakeholders to understand business problems and translate them into practical, secure, scalable, and supportable AI and automation solutions. The role participates throughout the solution lifecycle, including requirements analysis, solution design, development, testing, deployment, documentation, monitoring, and continuous improvement.

The role also contributes to the responsible adoption of Generative AI, AI agents, intelligent workflows, and other emerging AI capabilities while operating within established enterprise architecture, cybersecurity, data privacy, AI governance, and development standards.

Key Responsibilities:

• Design, build, test, deploy, and support AI-enabled applications, automations, workflows, and low-code solutions across business functions.
• Develop and maintain solutions using Airtable, Microsoft Power Platform, AI platforms, APIs, connectors, scripting, and other approved technologies.
• Create AI-assisted workflows, copilots, conversational experiences, agents, and knowledge-enabled solutions for approved business use cases.
• Design agentic AI workflows with business rules, integrations, human oversight, exception handling, and escalation paths.
• Evaluate business processes and identify opportunities to improve efficiency, user experience, data quality, and decision-making through AI, automation, or workflow redesign.
• Partner with business stakeholders, Solution Owners, BRMs, analysts, and IT teams to translate requirements into secure, scalable technical solutions.
• Build and support integrations and data flows across AI, automation, and enterprise applications using APIs, webhooks, connectors, and approved integration tools.
• Work with structured and unstructured data while following enterprise data-management, privacy, and security requirements.
• Configure AI prompts, instructions, knowledge sources, workflow logic, and guardrails for approved AI solutions.
• Test and validate AI-enabled solutions, including functionality, integrations, outputs, exceptions, and user acceptance.
• Evaluate AI outputs for accuracy, reliability, relevance, and appropriate behavior; recommend improvements as needed.
• Troubleshoot application, automation, integration, and AI solution issues; perform root-cause analysis and implement corrective actions.
• Monitor deployed solutions for performance, reliability, adoption, data quality, and business effectiveness.
• Apply Responsible AI principles and comply with AI governance, cybersecurity, data privacy, access control, IP, records management, and regulatory requirements.
• Create and maintain technical documentation, including designs, workflow diagrams, configurations, integrations, testing evidence, support procedures, and knowledge articles.
• Follow software development lifecycle, change management, release management, review, and…