обновлено 4 дня назад
AI Architect
130 000 - 155 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Architect (Enterprise AI): Designing and evolving enterprise AI infrastructure, platforms, integrations, and governance for LLM applications, RAG systems, AI agents, automations, and enterprise knowledge systems with an accent on scalability, security, and production readiness. Focus on defining architectural standards, connecting AI systems to enterprise data and business applications, evaluating emerging platforms, and guiding cross-functional teams through implementation.
Location: Woburn, Massachusetts, United States; hybrid work arrangement
Salary: $130,000–$155,000 annual base salary, plus a corporate bonus
Company
is a global creative and software technology company specializing in typefaces, font technologies, and digital solutions for brands and creative professionals.
What you will do
- Lead the design and evolution of enterprise AI infrastructure and architecture.
- Modernize platforms for AI-enabled tools, automations, workflows, and agentic systems.
- Define patterns, standards, best practices, governance, monitoring, and cost-management approaches for AI applications.
- Design secure, scalable connections between AI systems, enterprise data, knowledge sources, and business applications.
- Evaluate AI platforms and tools based on business value, scalability, security, and risk.
- Provide technical leadership and architectural guidance while shaping the enterprise AI roadmap.
Requirements
- 8+ years of experience in software engineering, cloud infrastructure, enterprise architecture, platform engineering, data engineering, or a related technical field.
- Experience with LLMOps, MLOps, platform engineering, or internal developer platforms.
- Experience designing or modernizing enterprise-scale platforms, cloud systems, data platforms, or integration architectures.
- Strong understanding of LLM platforms, RAG, data retrieval, orchestration, APIs, monitoring, governance, security, privacy, and compliance.
- Hands-on experience with cloud and AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI, or Anthropic.
- Experience with agent frameworks, vector databases or search platforms, automation tools, enterprise integrations, and responsible AI practices.
Nice to have
- Strategic systems thinking and the ability to connect architecture decisions with business outcomes.
- Hands-on prototyping experience and strong technical judgment in ambiguous environments.
- Experience balancing innovation, delivery speed, security, scalability, and operational reliability.
- Ability to collaborate across Engineering, IT, Security, Data, Legal, and business teams.
Culture & Benefits
- Hybrid work arrangements and paid time off programs.
- Commercial medical insurance coverage.
- Corporate bonus program.
- Professional onboarding, training, and development opportunities.
- Retirement planning options, recognition programs, and employee events.
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