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Director of Engineering, PDLC Agents Platform (AI)

200 500 - 332 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
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
Director of Engineering, PDLC Agents Platform (AI): Building and leading Nordstrom's agentic software delivery platform with an accent on multi-agent orchestration, context engineering, evaluations, governance, and integrations with coding agents and AI models. Focus on enforcing policy-as-code gates, establishing secure agent standards, scaling operational practices, and growing an engineering organization.

Location: Hybrid in Seattle, Washington; availability to work at the hirify.global corporate headquarters at least 4 days per week is required

Salary: $200,500–$332,000 annual

Company

hirify.global is a luxury retailer using technology, AI, and agentic systems to create personalized customer experiences.

What you will do

  • Define the strategy and roadmap for the PDLC Agents Platform and its AI-Native Operating Model.
  • Lead development of digital worker agents and the software delivery lifecycle from project initialization through production operation.
  • Own ship-time policy gates requiring registration, instrumentation, guardrails, and evaluations.
  • Partner with Security, UX, Architecture, Data Science, Product, and runtime control-plane teams on policy-as-code, data classification, approved tools and models, and autonomy tiers.
  • Drive adoption of MCP, A2A, and OTEL GenAI tracing as framework-agnostic agent standards.
  • Build and mentor the engineering organization while supporting rollout across merchandising, customer experience, and other business domains.

Requirements

  • 10+ years of software engineering experience and at least 5 years in leadership roles.
  • Experience leading platform, developer-tools, or agentic/AI engineering teams.
  • Production experience with coding agents, multi-agent orchestration, context engineering, and agentic evaluations.
  • Experience designing or enforcing policy-as-code controls in regulated or high-stakes environments.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven ability to hire, mentor, and grow engineering teams and collaborate across technical and business functions.

Nice to have

  • Knowledge of MCP, A2A, OTEL GenAI, OBO authorization, AI gateways, or observability platforms.
  • Experience in retail, e-commerce, or customer-focused industries.
  • Experience handling PCI or PII data.
  • Advanced degree.

Culture & Benefits

  • Medical, vision, dental, retirement, and paid time away benefits.
  • Life insurance, disability coverage, merchandise discount, and EAP resources.
  • 401(k), PTO accruals, holidays, and potential performance-based incentives or bonuses.
  • Culture focused on engineering rigor, safe experimentation, continuous learning, scalability, security, and responsible autonomy.

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