Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности понятны, результаты на первые месяцы измеримы, а путь от пилотов до владения AI-портфелем описан конкретно - оценить масштаб и возможное влияние работы здесь проще, чем обычно.
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Понятные задачиРабота с AIДополнительные льготыСовременные инструменты
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Solution Specialist (AI/Automation): Designing, delivering, and scaling production-ready AI solutions for productivity, automation, decision support, and AI-indexed workflows with an accent on enterprise platforms, secure data integration, and measurable business impact. Focus on building agents and copilots, running pilots from discovery through rollout, tracking adoption and value, and standardizing reusable AI patterns.
hirify.global provides cloud-first networking and security solutions used by organizations including 70% of the Fortune 500.
What you will do
Identify and prioritize high-impact AI use cases and workflows that improve productivity, cycle time, quality, or decision-making.
Translate business needs into practical AI solution designs, including agents, copilots, automations, and analytics grounded in enterprise data.
Design and configure AI agents and workflows using Glean, Microsoft Copilot, Copilot Studio, Power Automate, and approved third-party AI tools.
Collaborate with IT, data, security, operations, functional leaders, and the AI Investment Office to connect solutions to systems and data sources under AI governance guardrails.
Build business cases, success metrics, and telemetry to track adoption, time saved, quality, and financial impact; run pilots through testing, feedback, iteration, and production rollout.
Create enablement materials, training moments, reusable prompts, architectures, patterns, and checklists for AI adoption.
Requirements
Foundational skills in business analysis, solutions consulting, project or program management, or operations analysis, together with a strong background in AI, automation, or advanced analytics.
Proven ability to turn ambiguous business problems into practical technology or AI solutions with measurable outcomes.
Hands-on experience with AI or automation platforms such as Glean, Microsoft Copilot, Copilot Studio, Power Automate, low-code agents, or comparable tools.
Strong workflow and process mapping skills, including defining requirements and breaking work into clear, testable steps.
Ability to work with data using AI copilots, BI tools, or basic queries to explore datasets, define KPIs, and interpret trends.
Excellent written and verbal communication skills, including explaining AI concepts, tradeoffs, and risks to non-technical stakeholders.
Experience collaborating across business, IT, and data teams and influencing stakeholders without direct authority.
Growth mindset, curiosity about emerging AI capabilities, and a track record of learning and applying new tools quickly.
Bachelor’s degree in business, information systems, computer science, engineering, or a related field.
Nice to have
Master’s degree, such as an MBA or similar.
Culture & Benefits
Inclusive culture focused on bold ideas, curiosity, creativity, continuous learning, and belonging.
IMSS social security coverage, paid time off, bonuses, and additional employee protections.
Grocery vouchers, an employer-supported savings fund, and a monthly wellbeing and health-support allowance.
Monthly non-taxable home-office stipend and, for eligible field-based roles, transportation support and fuel vouchers.
Learning opportunities, career-mobility programs, leadership workshops, and mentorship through Blox Buddies.
Hiring process
The first 90 days include cultural onboarding, mentor connections, systems mapping, stakeholder meetings, and short- and long-term goal setting.
Within six months, the role is expected to deliver 2–3 scoped AI solutions or agents from discovery through pilot and establish a prioritized AI opportunity backlog.
Within one year, the role is expected to own a production AI portfolio, standardize reusable patterns, advise leaders, contribute to governance, and mentor newer AI builders and champions.
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