Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Хорошая вакансия
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В Company hidden вы будете отвечать за production AI-системы на senior-уровне, а в описании есть хорошие сигналы для профессионального роста. Но зарплата не указана, а поездки на 30–50% времени могут заметно влиять на повседневную жизнь.
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Частые поездкиЗарплата не указанаЛидерство в AIРост и развитиеВостребованная сфера
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Forward Deployed Engineer, AWS Forward Deployed Engineering (AI): Building and deploying enterprise-scale AI systems for strategic customers with an accent on multi-agent orchestration, retrieval systems, decision intelligence, and production reliability. Focus on leading complex customer programs, defining evaluation and observability standards, creating reusable engineering patterns, and scaling AI adoption across organizations.
Location: Singapore; requires 30–50% travel for customer engagements.
Company
hirify.global Web Services provides a broad cloud platform used by startups and Global 500 companies to power their businesses.
What you will do
Lead the technical strategy and delivery of complex, multi-workstream customer AI programs.
Design and build production-scale architectures for multi-agent orchestration, enterprise retrieval systems, and decision intelligence platforms.
Define operational standards, evaluation frameworks, testing strategies, observability standards, and incident response playbooks for AI systems.
Create reusable engineering patterns and accelerators that reduce customer time-to-value.
Mentor junior forward deployed engineers and contribute to interviewing, hiring, and engineering excellence.
Identify opportunities to expand AI adoption and feed customer learnings back into AWS services and the FDE practice.
Requirements
5+ years of professional software development experience and programming experience with at least one language.
5+ years of leading system design or architecture, including design patterns, reliability, and scaling.
Experience as a mentor, technical lead, or engineering team lead.
Experience communicating technical concepts to technical and non-technical audiences, including senior stakeholders.
Experience leading agentic and spec-driven development at production scale.
Experience with AI evaluation frameworks, agent tooling, RAG pipelines, and prompt engineering.
Nice to have
Bachelor’s degree in computer science or equivalent experience.
Experience with AWS services and enterprise-scale AI/ML applications.
Experience architecting complex, multi-component systems in customer production environments.
Experience with React, TypeScript, Python, or Go.
Experience leading customer-facing technical projects, managing external stakeholders, or working in Agile, startup, or rapidly scaling environments.
Culture & Benefits
Flexible working culture focused on work-life harmony.
Inclusive culture supported by employee-led and company-sponsored affinity groups and inclusion events.
Mentorship, knowledge-sharing, and career development resources.
Opportunity to work on customer-facing AI systems and contribute to AWS engineering practices.
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