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3 дня назад

Solutions Engineer (AI/EDA)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solutions Engineer (AI/EDA): Designing and validating real-time event-driven architectures and agentic AI systems to help enterprise customers move AI from pilot to production with an accent on technical validation and strategic advisory. Focus on architecting PoCs/PoVs, evangelizing EDA patterns, and bridging the gap between complex technical infrastructure and business outcomes.

Location: Remote (North America), with a primary reference to New York, NY. Willingness to travel up to 35% across North America is required.

Company

hirify.global is a leading platform for the enterprise AI era, providing infrastructure for real-time, event-driven data experiences for global enterprises.

What you will do

  • Partner with Account Executives to qualify opportunities, shape account strategies, and drive complex deals to closure.
  • Educate customers on the business value of event-driven architecture (EDA) and agentic AI strategies.
  • Lead high-impact technical demonstrations, Proof of Concepts (PoCs), and Proof of Value (PoVs).
  • Architect solutions using the hirify.global Event Broker and Agent Mesh to solve real-world architectural challenges.
  • Evangelize core EDA concepts including pub/sub, event sourcing, CQRS, and choreography vs. orchestration.
  • Provide customer-driven insights to the Product and Engineering teams to influence the roadmap.

Requirements

  • 5+ years of experience in technical sales or solutions engineering selling complex enterprise software.
  • Proven ability to lead technical evaluations and communicate business impact to executive stakeholders.
  • Experience with event-driven architecture or streaming platforms (e.g., Kafka, RabbitMQ, NATS, or MQTT).
  • Familiarity with agentic AI frameworks and LLM orchestration (e.g., LangChain, CrewAI, AutoGen).
  • Working knowledge of cloud environments (AWS, Azure, GCP) and Kubernetes.
  • Must be able to travel up to 35% across North America.

Nice to have

  • Programming proficiency in Java, Python, Go, or JavaScript.
  • Knowledge of A2A (Agent-to-Agent) and MCP (Model Context Protocol) communication patterns.
  • Familiarity with enterprise IT security, networking, and compliance considerations.

Culture & Benefits

  • Hybrid-first work model providing flexibility and inclusion.
  • Culture based on craftsmanship, trust, courage, and humility.
  • Professional growth mindset with structured training programs to level up skills.
  • Collaborative environment working alongside industry-leading technical minds.
  • Focus on work-life balance and a social, creative team atmosphere.

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