[Hiring] Applications Developer II - AI & Automation @Cordis

Role Description

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.

• 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.
• Automates business processes, improves employee productivity, enhances decision-making, and reduces manual work.
• Partners with business and IT stakeholders to understand business problems and translate them into practical, secure, scalable, and supportable AI and automation solutions.
• Participates throughout the solution lifecycle, including requirements analysis, solution design, development, testing, deployment, documentation, monitoring, and continuous improvement.
• Contributes to the responsible adoption of Generative AI, AI agents, intelligent workflows, and other emerging AI capabilities.
• Operates within established enterprise architecture, cybersecurity, data privacy, AI governance, and development standards.

Qualifications

• Bachelor’s degree in computer science, Computer Engineering, Information Systems, Software Development, Artificial Intelligence, Data Science, or a related discipline, or equivalent relevant professional experience.
• 3+ years of experience in application development, application configuration, workflow automation, systems integration, enterprise SaaS solutions, or an equivalent combination of relevant roles and projects, and education.
• Applicants must be authorized to work in the United States without the need for current or future employer-sponsored work authorization.

Requirements

• 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 production support practices.
• Support AI proofs of concept and pilots, helping transition successful experiments into secure, governed, production-ready solutions.
• Manage concurrent development activities, enhancements, incidents, and priorities while communicating progress, risks, dependencies, and blockers.