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4 часа назад

Gen AI Architect, Consulting Principal (AI Engineering)

122 400 - 223 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
principal
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

GenAI Architect (AI Engineering): Leading the technical architecture for Agentic AI solutions, including use case feasibility, reference architectures, and platform adoption with an accent on scalable, secure, and cost-effective GenAI capabilities. Focus on designing and implementing POCs/pilots, building RAG pipelines, and collaborating with governance teams to implement guardrails and safety layers.

Location: Hybrid, requiring regular travel (up to 50%) and presence in client or hirify.global offices on the US East Coast or Central Time Zones. Must be legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.)

Salary: $122,400 - $223,500 depending on experience and qualifications.

Company

hirify.global is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era.

What you will do

  • Assess use case feasibility and produce a go/no-go recommendation with solution options.
  • Define the Agentic AI foundation and architect multi‑agent solutions.
  • Develop reference architectures and pattern libraries.
  • Design and implement POCs/pilots for data connectors, embeddings pipelines, and prompt flows.
  • Build RAG pipelines: chunking, embeddings creation, and vector indexing.
  • Collaborate with governance teams to implement guardrails and safety layers.

Requirements

  • 10+ years in software/data/AI architecture; 2+ years hands-on with LLMs/GenAI in production or pilots.
  • Experience with cloud AI stacks in AWS (Bedrock, OpenSearch, Lambda, KMS, Step Functions).
  • Strong in Python/TypeScript/Java and building LLM apps using frameworks like LangChain, LlamaIndex, Semantic Kernel.
  • Deep understanding of RAG design: chunking strategies, embeddings, and vector DBs.
  • Preferred experience in security & compliance: OAuth/JWT, RBAC/ABAC, encryption, data masking, PII handling, auditability, Responsible AI.
  • Familiarity with model ecosystem (GPT, Claude, Gemini, Llama, Mistral, DeepSeek) and trade-offs.

Culture & Benefits

  • High caliber team who appreciate and support one another.
  • Energetic, collaborative, and inclusive workplace where everyone can thrive.
  • Global community with more than 300,000 associates around the world.
  • Paid holidays plus Paid Time Off.
  • 401(k) plan and contributions.
  • Employee Stock Purchase Plan.

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