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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$200к-230к/год
$170к$190кмедиана$240к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $4.3к/мес ($3.6к - $5.4к)
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Чётко описанная senior-позиция в крупном институциональном инвесторе даёт широкую ответственность за внедрение агентного ИИ, но охват всего жизненного цикла и обязательный опыт в инвестиционных рынках делают вакансию узкоспециализированной.
?Широкая зона ответственности
?Редкое сочетание опыта
Современный стек ИИ
Рост команды
Работа с часовыми поясами
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI & Automation Engineer (Agentic AI): Designing and operating agentic AI, intelligent automation, and software engineering solutions for enterprise investment and business processes with an accent on orchestration, RAG pipelines, governance, and secure autonomous execution. Focus on building reliable multi-agent workflows, implementing guardrails and human-in-the-loop controls, and managing the full lifecycle of production AI systems across regulated financial services.
Location: New York City, United States; on-site at 1251 Avenues of the Americas with a hybrid schedule. Flexibility in work hours is required to collaborate across multiple time zones.
Salary: $200,000–$230,000 for full-time work in New York City.
Company
hirify.global is a major Australian superannuation fund and global asset owner with more than US $300 billion in assets under management.
What you will do
Design, build, maintain, and evolve agentic AI, autonomous workflow, and intelligent automation systems across enterprise business and technology processes.
Translate complex business problems into agent architectures, selecting models, tools, memory strategies, orchestration patterns, controls, and escalation mechanisms.
Build RAG pipelines and integrate AI solutions with core applications, APIs, digital channels, data services, and Microsoft platforms.
Operationalize AI agents and automation through DevOps and MLOps practices, managing deployment, evaluation, optimization, monitoring, support, and retirement.
Lead solution design, provide technical direction and mentoring, and establish reusable engineering standards, patterns, guardrails, and best practices.
Partner with business, Technology, Data, Digital, vendors, and service providers to identify opportunities and deliver safe, explainable, resilient, and compliant solutions.
Requirements
8+ years of hands-on technical engineering experience in complex enterprise environments, delivering robust, scalable, and supportable solutions.
Demonstrated experience designing and delivering agentic AI solutions, autonomous workflows, intelligent automation, orchestration, reasoning, planning, memory, tool use, and multi-agent patterns.
End-to-end experience building, delivering, supporting, and continuously improving AI-enabled automation, decision-support, or autonomous solutions in enterprise settings.
Strong conceptual understanding of generative AI, large language models, and agent-based system design.
Experience designing autonomous solutions with guardrails, controls, human-in-the-loop mechanisms, and escalation paths.
Strong experience with Microsoft Power Platform, including Power Automate, Power Apps, Copilot Studio, Microsoft 365 services, and related AI and automation technologies.
Tertiary qualification in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical industry experience.
Ability to own complex technical problems across requirements, design, implementation, deployment, optimization, operational support, and service management.
Strong analytical, systems-thinking, communication, collaboration, business, and technical leadership capabilities, including the ability to work autonomously in ambiguous environments and manage competing priorities.
Strong financial markets experience within an asset manager, institutional investor, or broker-dealer; experience supporting public and/or private market investment processes is essential.
Nice to have
Design thinking and recognized architecture framework experience.
Azure, cloud-native solution design, DevOps, MLOps, CI/CD, monitoring, and AI or automation lifecycle management experience.
Experience in regulated environments such as financial services, superannuation, or insurance, with knowledge of AI governance, risk, privacy, ethics, and compliance.
Agile, Lean, startup, or DevOps delivery experience; knowledge of ITIL and service management practices.
Experience with ServiceNow and/or PowerShell scripting.
Strong interest in emerging AI, agentic systems, automation, and intelligent platforms.
Culture & Benefits
Collaborative, high-performing environment focused on integrity, generosity of spirit, energy, and excellent outcomes.
Blended working environment with flexibility to support diverse needs and collaboration across multiple time zones.
Generous 401(k) matching and health insurance.
Inclusive workplace with reasonable adjustments available during recruitment or employment.
AI is used to review resumes and conduct initial phone interviews; candidates invited to AI screening may opt for a traditional phone screening.
Hiring process
Apply through the advertised application process and provide qualifications relevant to the role.
Initial resume and phone-interview assessment may be conducted using AI; a traditional phone screening is available as an alternative when invited.
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