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6 часов назад

Technical Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Architect (AI): Defining AI and data platform architectures for enterprise clients and translating engagement patterns into reusable internal IP with an accent on cloud-native systems, governance, and architectural communication. Focus on designing production AI/ML platforms, abstracting client-specific solutions into reusable assets, and governing architecture across concurrent engagements.

Location: On-site in Atlanta, Georgia, United States

Company

hirify.global connects client-facing technical architecture delivery with internal AI and data intellectual property development through IG Labs.

What you will do

  • Define AI and data platform architectures with enterprise CTO, VP Engineering, and Chief Data Officer stakeholders.
  • Lead current-state assessments, gap analyses, future-state designs, roadmap sequencing, and architecture discovery sessions.
  • Produce reference architectures, architecture decision records, data-flow diagrams, integration blueprints, and governance frameworks.
  • Derive reusable patterns, templates, evaluation frameworks, and deployment playbooks from client engagements for the IG Labs IP library.
  • Provide architectural oversight across multiple engagements and align technical decisions with project plans, sprint goals, and acceptance criteria.
  • Support proposals and pre-sales, mentor delivery engineers and junior architects, and identify architectural drift, scope risk, and technical debt.

Requirements

  • 8+ years of experience in technical architecture, solutions architecture, or principal engineering roles.
  • Hands-on experience designing production AI/ML, data platform, or cloud-native systems.
  • Deep fluency in at least two of AWS, Azure, and GCP.
  • Experience defining architecture directly with senior client stakeholders.
  • Strong written and visual communication skills, including architecture diagrams, decision records, and executive summaries.
  • Ability to abstract reusable patterns from specific implementations and operate with ambiguity in professional services or consulting environments.

Nice to have

  • Experience with agentic AI systems, RAG architectures, or LLM orchestration using LangChain, LlamaIndex, or similar tools.
  • Familiarity with MCP and AI system integration.
  • Experience in financial services, healthcare, or insurance, including MLOps, model governance, or AI lifecycle management.
  • Background in professional services, systems integration, or technology consulting, and experience contributing to an IP library or accelerator repository.
  • Executive Certificate, Master’s degree, or equivalent advanced credentials.

Culture & Benefits

  • Work across active enterprise client engagements and internal IG Labs IP development.
  • Participate in IP review cycles focused on peer review, generalizability, and applicability documentation.
  • Contribute to Reuse Index targets that measure the use of pre-built IP in engagements.

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