Назад
Company hidden
3 дня назад

Enterprise Architect - Agentic AI and Delivery Lifecycle

Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Enterprise Architect - Agentic AI and Delivery Lifecycle (Agentic AI/Fintech): Defining and leading enterprise architecture for the adoption of AI agents across Product, Software Engineering, and Platform Engineering with an accent on secure platforms, governance, reusable capabilities, and cost control. Focus on designing MCP integrations and model gateways, establishing the Agentic Delivery Lifecycle, and managing AI risk, observability, compliance, and production assurance in regulated financial services.

Location: Remote, United States

Company

hirify.global is a global fintech company building payment infrastructure, payout, card issuing, banking, risk, and fraud management technology for businesses in more than 200 markets.

What you will do

  • Define and govern the enterprise Agentic Delivery Lifecycle for agent design, development, testing, approval, deployment, production access, and monitoring.
  • Architect and govern secure agentic AI platforms, model gateways, MCP integrations, execution environments, skill registries, and enterprise connections.
  • Establish standards for reusable agents, workflows, orchestration, context, memory, tool usage, delegation, and human oversight.
  • Lead the Agentic AI Center of Excellence by developing reference architectures, playbooks, training, communities of practice, and certification programs.
  • Define controls for data leakage, prompt injection, hallucinations, unauthorized actions, excessive autonomy, auditability, rollback, and incident response.
  • Measure adoption, productivity, delivery speed, quality, reliability, risk, cost, and return on investment, updating the roadmap as capabilities evolve.

Requirements

  • Significant experience in enterprise, solution, or platform architecture, including governance, design reviews, standards, and technology roadmaps.
  • Experience designing and implementing enterprise AI, generative AI, or agentic AI platforms.
  • Strong knowledge of large language models, agent orchestration, retrieval-augmented generation, tool calling, context management, and human-in-the-loop architectures.
  • Hands-on experience with OpenAI Codex, Anthropic Claude Code, GitHub Copilot, MCP servers, gateways, or comparable integrations.
  • Strong knowledge of identity and access management, API security, secrets, data protection, observability, cloud architecture, CI/CD, and secure software delivery.
  • English is the primary working language; experience with AI risk, model governance, privacy, regulatory compliance, and regulated environments is required.

Culture & Benefits

  • Flexible working model.
  • Competitive holiday allowance.
  • 401(k) matching program.
  • Group insurance benefits.
  • Employee Assistance Program.
  • Inclusive workplace focused on collaboration, innovation, and employee empowerment.

Hiring process

  • Recruitment may use automated tools, including AI, to support application management and candidate shortlisting.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →