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Tier-1 brand plus metro location and full-stack title, but niche AI and GxP requirements narrow the pool.
Requires AI, regulated (GxP) and production full-stack experience, limiting cross-industry transferability.
Explicit 8–13 years plus mandatory full-stack, AI, security and regulated-delivery experience makes filters strict.
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Own end-to-end development and delivery of a small full-stack AI product or a significant application workstream, from problem framing through production launch and support transition.
Lead architecture, coding, deployment, and operations for AI-enabled systems involving frontend, API, backend services, data integrations, automation, ML/GenAI, and human review.
Drive sprint planning, governance, risk-based testing, CI/CD, incident response, adoption measurement, and mentorship within the Applied AI | AI Studio team.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
8 to 13 years of relevant work experience in software engineering and AI-enabled product delivery.
Proven full-stack hands-on expertise with JavaScript/TypeScript and backend language (Python, Java, C#, or Node.js) plus SQL, and ownership of production AI or automation systems.
Experience leading architecture, delivery, release management, and support operations for production AI/automation solutions.
Experienced in designing and operating complex AI-enabled full-stack applications with measurable business outcomes and governance.
Strong technical leadership in cross-functional environments, connecting product goals to architecture and operational excellence.
Skilled in building secure, scalable, and resilient distributed services integrating ML/GenAI components, adhering to regulatory and responsible AI controls.