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2 дня назад

Forward Deployed Team Lead (Chicago)

130 000 - 194 000$
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Forward Deployed Team Lead (Chicago) (Enterprise AI): Owning customer deployments from architecture and hands-on coding through production delivery with an accent on enterprise integrations, cloud infrastructure, security, and stakeholder management. Focus on designing data and deployment architectures, building backend services and pipelines, and converting ambiguous customer requirements into repeatable AI application deployments.

Location: Chicago, Illinois, United States. Candidates must be authorized to work in the United States without current or future company sponsorship.

Salary: $130,000–$194,000 USD base pay per year.

Company

hirify.global develops enterprise AI application software, including the C3 Agentic AI Platform, industry-specific SaaS applications, and generative AI products.

What you will do

  • Own customer engagements end to end, from workflow scoping and architecture through production deployment.
  • Design data flows, integration topology, identity models, and deployment architectures across customer infrastructure.
  • Write production backend services, data pipelines, APIs, and integrations.
  • Manage deployment roadmaps, statements of work, milestones, risks, dependencies, and scope decisions.
  • Lead customer working sessions, executive briefings, and technical design discussions.
  • Deploy and secure solutions across data warehouses, ERP/CRM systems, and AWS, Azure, or GCP environments.

Requirements

  • BS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience.
  • 6+ years of experience shipping production software, including 2+ years as a technical lead or senior individual contributor owning delivery end to end.
  • Strong proficiency in Python, TypeScript/JavaScript, Java, Go, or C++.
  • Experience taking commercial or enterprise systems from zero to production and working directly with business and technical stakeholders.
  • Deep expertise in at least one vertical such as financial services, healthcare, energy, manufacturing, or defense.
  • Experience with enterprise data environments, APIs, CI/CD, Docker/Kubernetes, cloud-native services, and infrastructure as code.

Nice to have

  • Experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with forward-deployed or professional services delivery.
  • Experience with AI/ML platform deployments or data-heavy enterprise applications at scale.
  • Experience with managed ML/AI services and regulated industries.
  • Ability to turn ambiguous customer problems into clean, repeatable deployment patterns.

Culture & Benefits

  • Competitive compensation package.
  • Generous equity plan.
  • Benefits package provided.
  • Focus on enterprise security, compliance, monitoring, and data residency in customer deployments.

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