обновлено 2 дня назад
AI Lifecycle Manager
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Lifecycle Manager (AI/Software Delivery): Guiding client software systems through AI-powered lifecycle execution from requirements and specifications to implementation and validation with an accent on solution architecture, modernization, and governed delivery. Focus on creating AI-assisted onboarding materials, advising on cost-saving opportunities, and coordinating architecture, QA, security, pre-sales, and solutioning discussions.
Location: Remote
Company
builds cloud-first, AI-driven solutions and operates as an AWS Advanced Consulting Partner, CNCF member, Kubernetes Certified Service Provider, and Linux Foundation AI & Data working group participant.
What you will do
- Help clients use the AI-MSL platform by creating self-service onboarding materials with ClaudeCode and Gemini.
- Consult clients on software modernization and cost-saving opportunities.
- Guide software features through the governed lifecycle from requirements and specifications to implementation and validation.
- Collaborate with architecture, QA, and security experts at lifecycle gates.
- Support technical discussions during pre-sales and solutioning.
Requirements
- Experience in an IT services company with client-facing software delivery or account management.
- Strong understanding of SDLC and PDLC.
- Experience in solution architecture, application modernization, and Kubernetes-powered deployment.
- Hands-on experience with ClaudeCode, Codex, or similar AI development tools.
- Technical account management, delivery ownership, engineering, or solution architecture background.
Culture & Benefits
- Work at the intersection of AI, product, and engineering delivery.
- Influence and evolve a portfolio of client systems.
- Apply AI in production software environments rather than experimentation only.
- Work in an engineering-first environment with collaboration and ownership.
- Contribute to the transition toward AI-powered software lifecycle execution.
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