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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли ясный фокус на AI-консалтинге и работе с крупными компаниями, но сочетание предпродаж, консультаций и частых поездок может давать высокую нагрузку.
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Много поездокШирокая зона ответственностиАктуальные технологииВлияние на крупные проекты
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Solutions Consultant (AI): Leading AI-first product strategy, technical pre-sales, and scalable solution architecture across enterprise clients with an accent on generative AI, agentic workflows, cloud platforms, and modern data ecosystems. Focus on designing production-ready AI platforms, shaping multi-million-dollar engagements, building repeatable accelerators, and aligning executive business outcomes with architecture, risk, and commercial models.
Location: United States; hybrid model; preferred location on the East or West Coast; candidates near New York City, Atlanta, or the Pacific Northwest have an advantage. Travel up to 40%. Must be authorized to work in the U.S. without sponsorship.
Company
hirify.global is a product engineering partner helping organizations modernize through strategy, software craftsmanship, data ecosystems, digital products, and AI acceleration.
What you will do
Lead AI-focused technical pursuits with sales, including discovery, qualification, proposals, executive narratives, and commercial models.
Design scalable and secure AI platforms and cloud architectures across AWS, Azure, GCP, Snowflake, and Databricks.
Lead work on operationalizing LLMs, agentic workflows, enterprise data readiness, modern architecture, and AI governance.
Build repeatable AI offerings, accelerators, workshops, proof-of-value materials, LLM templates, thought leadership, and sales enablement assets.
Provide billable advisory support, facilitate client workshops, and align stakeholders on scope, risks, governance, and success criteria.
Partner with delivery, sales, and technology partners including AWS and Snowflake to transfer context and ensure successful execution.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
12+ years of experience in solution consulting, software architecture, modern enterprise solutions, or related AI engineering roles, including 3+ years in a senior or lead technical capacity.
Proven experience leading complex, multi-million-dollar AI programs from pilot and concept stages through production across multiple enterprise clients.
Recognized expertise in generative AI frameworks, agentic workflows, enterprise data platform orchestration, and AI governance and enablement.
Deep hands-on experience with AI-accelerated delivery, AWS, Azure, GCP, Snowflake, Databricks, and modern data architectures, including defining reference architectures adopted across teams.
Ability to align technical solutions with business objectives, risk posture, financial constraints, and commercial pricing, and to shape strategic multi-phase engagements and large executive-level pursuits.
Established trusted-advisor relationships with C-suite and senior executive stakeholders, with exceptional written and verbal communication and executive presence.
Experience mentoring and coaching Senior Solution Consultants, Architects, and Strategists, and influencing sales, delivery, and partner leadership without direct authority.
Experience building repeatable offerings, accelerators, and thought leadership, and representing the company at industry events and with strategic partners.
Willingness to travel up to 40%.
Nice to have
Advanced cloud or data platform certifications such as AWS, Snowflake, Azure, or Databricks.
Experience supporting practice growth through hiring, interviewing, and developing solution consulting talent.
Published thought leadership or industry speaking experience in AI and modern data architecture.
Advanced degree.
Culture & Benefits
Hybrid work model with competitive pay, robust benefits, and 401(k) matching.
Inclusive equal employment opportunity workplace with reasonable accommodations available during hiring.
Encouragement to explore, adopt, and evangelize AI tools and methodologies.
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