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2 дня назад

Senior Principal Architect, Applied AI Enterprise

172 630 - 258 950$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Principal Architect, Applied AI Enterprise (Agentic AI): Designing and deploying enterprise AI-powered solutions centered on agentic systems that can reason, plan, and take action, with an accent on AI architecture, orchestration, cloud platforms, and MLOps. Focus on building multi-agent systems, integrating tools and data retrieval patterns, evaluating emerging AI frameworks, and delivering scalable production AI platforms.

Location: Onsite five days a week at the Irving, Texas; Peoria, Illinois; or Broomfield, Colorado office. Relocation is available. Visa sponsorship is not available.

Salary: $172,630–$258,950 per year

Company

Manufactures construction and mining equipment, engines, industrial gas turbines, and diesel-electric locomotives, supported by a global dealer network.

What you will do

  • Develop detailed architecture deliverables for business problems solved through agentic AI systems.
  • Design technical infrastructure for AI applications, including orchestration layers, tool integrations, data retrieval, and testing.
  • Lead the evaluation and deployment of emerging AI technologies and frameworks.
  • Translate business requirements into AI solution designs and collaborate with IT, business functions, and product teams.
  • Shape enterprise AI architecture and contribute to the organization’s AI strategy.

Requirements

  • Deep understanding of modern AI/ML architectures, including transformer models, RAG, agent frameworks, and model orchestration.
  • Hands-on experience with Azure OpenAI Service, AWS Bedrock, Google Vertex AI, and multi-cloud or hybrid solutions.
  • Strong knowledge of data architecture, target architecture, requirements analysis, and enterprise integration.
  • Strong MLOps experience, including model versioning, deployment pipelines, monitoring, and governance.
  • Experience with production agentic AI systems, LLM deployment patterns, vector databases, embedding models, and observability tools.
  • Ability to communicate complex technical concepts to non-technical stakeholders and influence architecture decisions across teams.

Nice to have

  • Experience with LangChain, LangGraph, Semantic Kernel, or similar orchestration frameworks.
  • Experience with prompt engineering, function calling, context engineering, and LLMOps.
  • Broad software engineering experience with API design and authentication or authorization patterns.

Culture & Benefits

  • Career development and opportunities to work with emerging technologies.
  • Medical, dental, and vision benefits.
  • Paid time off, holidays, and volunteer time.
  • 401(k), HSA, FSA, disability, life insurance, and parental leave benefits.
  • Tuition reimbursement, incentive bonus, employee discounts, and assistance programs.

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