Will be responsible for building and delivering innovative applications and automation solutions end-to-end.
Rapidly translating ideas into working prototypes and reusable assets.
Lead the development of prototypes and proof-of-concept solutions to validate new ideas and technologies, with emphasis on building working applications end-to-end.
Design and implement APIs, backend services, workflow automations, and UI experiences to support innovation use cases.
Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns, evaluation and guardrails) in partnership with AI technical leadership.
Experiment with, develop, and implement emerging technology solutions (e.g., agent-based workflows, digital assets, etc.) and translate into working solutions.
Develop and maintain rapid development patterns for innovation solutions (starter kits, reusable components, internal demos, and implementation playbooks).
Integrate solutions with enterprise systems as needed.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering or a related technical field.
8
12 years of experience in software engineering, application development, and end-to-end innovative solution delivery.
Demonstrated hands-on software development experience building full-stack applications end-to-end such as APIs, back-end applications, and UIs.
Strong experience building AI-enabled solutions and integrating models/services into applications in a hands-on capacity.
Comfort working in a fast-paced environment, progressing despite ambiguity and ability to independently lead development workstreams from concept to execution.
Clear, structured verbal and written communication skills; collaborative and proactive working style.
Strong full-stack experience (backend apps and building functional UIs quickly).
Experience with Google Cloud / Vertex AI / Gemini or comparable AI platforms.
Strong hands-on development experience using modern programming languages and frameworks (e.g., Java, Python, TypeScript/JavaScript, or similar) and/or experience leveraging AI-assisted development tools.
Experience with cloud development, containerization, CI/CD, and deploying applications into enterprise environments.
Experience building automation solutions (workflow engines, scripting, web automation, system-to-system integration).
Experience with secure coding practices, application security basics, and building in regulated environments.
Proven track record of delivering innovative solutions using emerging technologies, with focus on rapid experimentation, implementation, and measurable outcomes.