Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$242к-333к/год
$170к$200кмедиана$230к
По похожим ролям (50) ~ $200к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5.1к)
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Роль четко определена с акцентом на ИИ в управлении инвестициями, а зарплата выше среднего по рынку, что делает ее привлекательной.
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Высокая зарплатаЧеткие обязанностиГибридный формат работыФинансовые технологии
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Vice President - Forward Deployed Engineer (AI): Building and deploying LLM-enabled tools for investment decision-making and research processes with an accent on investment strategy, quantitative analysis, and secure production engineering. Focus on translating portfolio management and research needs into scalable AI solutions, moving prototypes into enterprise capabilities, and meeting regulatory, security, and governance requirements.
Location: Boston, Massachusetts; hybrid schedule with at least four days per week in the office and flexibility to work from home one day per week.
Base salary: $242,100–$332,900 per year, plus potential variable compensation.
Company
hirify.global is a diversified financial services company serving individual, small business, and institutional clients through financial planning, asset management, and insurance businesses.
What you will do
Partner with portfolio management and investment research teams to identify opportunities and translate investment strategies, research priorities, and business challenges into AI-enabled solutions.
Design, prototype, and deliver proof-of-concept and production-ready capabilities using advanced analytics, machine learning, and LLM technologies.
Build tools that improve investment insights, decision-making, research processes, and organizational efficiency.
Partner with Investments, Technology, Data, Risk, Compliance, engineering, and platform teams to ensure security, governance, scalability, and regulatory compliance.
Influence the AI and investment technology roadmap by evaluating emerging capabilities and identifying high-value opportunities.
Lead the transition of successful prototypes into sustainable enterprise capabilities.
Requirements
10+ years of combined experience across investment management, quantitative research or strategy, and hands-on software or AI engineering, including taking investment problems from concept to working solution.
Direct experience working alongside trading desks, portfolio managers, or investment researchers. Desk strategist, quant strategist, or research technologist experience is strongly preferred.
Hands-on experience building and shipping LLM-enabled or LLM-integrated applications, including RAG, embeddings, agentic workflows, prompt engineering, and API integration.
Strong Python development skills and experience producing production-quality code.
Expertise with cloud infrastructure and modern software practices, including CI/CD, version control, and API design.
Fluency in at least one asset class: equities, fixed income, multi-asset, or macro, at a level enabling active contribution to investment discussions.
Experience delivering secure, auditable AI solutions in a regulated environment and partnering with risk and compliance.
Applicants must have valid United States work authorization that does not now or in the future require visa sponsorship, including H-1B, F-1 CPT, F-1 OPT, or TN status.
Nice to have
Direct experience supporting front-office investment teams, including portfolio managers, analysts, researchers, or traders.
Familiarity with LangChain, LangGraph, LlamaIndex, MCP, agent frameworks, orchestration tools, and vector databases.
Experience building internal copilots, research assistants, or document-intelligence tools.
CFA, FRM, or equivalent investment credential.
Track record of shipping AI or analytics solutions with measurable real-world outcomes.
Culture & Benefits
In-person collaboration is foundational, with face-to-face work, idea sharing, productivity, and personal connection emphasized.
Hybrid flexibility includes working from home one day per week, subject to role-specific requirements.
Benefits include vacation time, sick time, 401(k), and health, dental, and life insurance.
Additional compensation may include bonuses, commissions, and long-term incentives.
Inclusive and accessible recruitment process with reasonable accommodations available.
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