Enterprise Innovation Developer II

About the role: The Enterprise Innovation Developer II serves as an advanced individual contributor and technical leader responsible for complex automation, integration, and AI-enabled solutions. The position independently architects, develops, deploys, and supports complex or high-impact solutions; establishes reusable technical patterns and quality practices; leads the resolution of significant technical issues; and provides technical guidance and mentoring to developers and interns. The role also advises business and technology stakeholders on solution feasibility, architecture, security, scalability, risk, and maintainability. Major Duties and Responsibilities: • Lead the architecture, design, development, implementation, and ongoing support of complex or high-impact automation and AI-enabled solutions involving multiple systems, advanced integrations, sensitive data, emerging technologies, or significant operational dependencies. • Establish, improve, and maintain reusable solution patterns, technical standards, development controls, testing and evaluation approaches, and documentation practices that improve consistency, reliability, security, maintainability, and supportability across solutions. • Provide technical leadership during discovery and solution design; evaluate alternative approaches, integrations, dependencies, scalability, security, supportability, controls, and operational impacts; and provide technical recommendations to business and technology stakeholders • Lead the diagnosis and resolution of complex production incidents, integration failures, performance issues, and systemic defects; perform or coordinate root-cause analyses; and develop corrective and preventive actions with internal teams and vendors. • Review solution designs, code or configuration, testing evidence, AI evaluations, and release packages; provide technical guidance, peer review, and mentoring to developers and interns; and promote effective engineering and solution-development practices. • Research and evaluate emerging automation, integration, AI, and development capabilities; conduct controlled proofs of concept; document results, limitations, risks, and potential business value; and recommend adoption, standardization, remediation, or retirement, as appropriate. • Performs other job-related duties as assigned. Minimum Qualifications: Experience Typically requires five to eight years of relevant experience or an equivalent combination of education, certifications, and demonstrated technical expertise. Relevant experience may include software development, automation, systems integration, application development, data solutions, architecture, or AI-enabled solution delivery. Candidates should demonstrate the ability to design, implement, and support complex solutions, solve advanced technical challenges, and provide technical leadership. Breadth of experience, complexity of work, and demonstrated impact are more important than expertise in any single technology or a specific number of years of AI experience. Education/Certifications/Licenses A bachelor's degree in information technology, computer science, software engineering, information systems, data, engineering, business technology, or a related discipline is preferred. An equivalent combination of relevant education, technical training, industry certifications, and demonstrated professional experience may be considered. Interpersonal Skills A significant level of trust, credibility and diplomacy is required. In-depth dialogue, conversations and explanations with customers, direct and indirect reports and outside vendors can be of a sensitive and/or highly confidential nature. Communications may involve motivating, influencing, educating and/or advising others on matters of significance. Typically includes subject matter experts as well as first level to middle managers Other Skills: • Advanced knowledge of solution architecture, automation platforms, integration patterns, APIs, structured data, source control, testing and evaluation, troubleshooting, observability, incident management, and technical documentation. • Advanced working knowledge of AI-enabled solution patterns, including prompt and retrieval design, document intelligence, evaluation methods, guardrails, model limitations, and human oversight. • Ability to evaluate security, privacy, operational resilience, access controls, segregation of duties, scalability, maintainability, and supportability across the solution lifecycle. This Job Description is not a complete statement of all duties and responsibilities comprising the position.