9 дней назад
Director - Product Technology
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director - Product Technology (AI): Leading the technical evolution and productization of a shared agentic-AI platform for enterprise and government customers with an accent on distributed architecture, secure deployment, and product-engineering execution. Focus on evolving agent runtimes, orchestration, APIs, identity, multi-tenancy, observability, reliability, and AI economics across sovereign, hybrid, and customer-controlled environments.
Location: Abu Dhabi, United Arab Emirates
Company
develops AI-powered domain-specific and industry-agnostic products, with Inception42 serving as an applied AI intelligence layer within the ecosystem.
What you will do
- Set the technical direction and execution roadmap for a shared agentic-AI platform.
- Evolve architecture across agent runtime, orchestration, tool execution, governance, APIs, identity, multi-tenancy, security, and sovereign deployment.
- Turn models, agents, and prototypes into evaluated, usable, secure, observable, and supportable platform capabilities.
- Lead enterprise integration and interoperability with strategic technology ecosystems, including Microsoft.
- Establish engineering practices for development, release, production operations, automated evaluation, observability, rollback, and operational ownership.
- Improve reliability, scalability, performance, security, and AI economics across enterprise, sovereign, hybrid, and customer-controlled deployments.
Requirements
- Senior product-engineering leadership experience building complex enterprise platforms, developer products, or multi-tenant SaaS.
- Hands-on credibility in architecture, system design, design or code review, and complex production diagnosis.
- Deep understanding of distributed systems, APIs, identity, security, multi-tenancy, reliability, observability, and production operations.
- Experience shipping AI-powered products, including practical knowledge of agents, RAG, evaluation, grounding, safety, latency, and cost.
- Experience guiding products from discovery and prototypes through launch, production operation, iteration, and scale.
- Ability to lead across organizational boundaries and communicate clearly with engineers, researchers, executives, customers, and strategic partners.
Nice to have
- Experience with agent platforms, copilots, workflow systems, developer platforms, or API ecosystems.
- Exposure to sovereign, regulated, government, hybrid, or on-premises deployment environments.
- Experience with AI evaluation, model observability, inference optimization, capacity planning, FinOps, or cost governance.
- Experience leading product engineering across multiple locations.
Culture & Benefits
- Open, diverse, and inclusive environment with a global vision.
- Structured training, learning, development, and growth opportunities.
- High-tech projects focused on applied AI innovation.
- Competitive remuneration package with healthcare, education support, leave benefits, and additional perks.
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