11 дней назад
Senior Agentic AI Platform Architect (AI)
70 - 75$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Agentic AI Platform Architect (AI): Defining and evolving production-scale platforms for multi-agent orchestration, tool use, and LLM integration with an accent on reliability, observability, guardrails, and scalable architecture. Focus on designing distributed AI systems, integrating agentic frameworks, establishing API and data-flow standards, and solving complex production reliability challenges.
Location: Fort Worth, Texas, United States; hybrid work with face-to-face interview required
Salary: $70–$75 per hour
Company
provides technology staffing and consulting services.
What you will do
- Define and drive the technical architecture for an agentic AI platform.
- Design and evolve multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
- Establish production patterns for agent reliability, observability, guardrails, and graceful degradation.
- Lead technical design reviews and create architecture decision records.
- Define API contracts, data-flow patterns, and integration standards across the AI platform.
- Collaborate with ML and software engineers while mentoring engineers on production-grade AI practices.
Requirements
- 10+ years of software architecture experience, including at least 3 years designing AI/ML platform systems.
- Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
- Expertise in distributed systems, microservices, event-driven architecture, and REST/gRPC API design.
- Strong Python skills plus proficiency in at least one of Java, Go, or TypeScript.
- Production experience with agentic AI systems or LLM-powered applications, including prompt engineering, tool-use patterns, RAG pipelines, and reliability/observability.
- Ability to work in a hybrid setup in Fort Worth, Texas; face-to-face interview required.
Nice to have
- Kubernetes, cloud platforms such as AWS, Azure, or GCP, and MLOps/LLMOps tooling.
- Experience with vector databases, knowledge graphs, multi-agent design patterns, or agent evaluation frameworks.
- Airline or travel domain experience.
- TOGAF or a similar architecture certification.
Culture & Benefits
- Opportunity to build and scale production agentic AI systems rather than prototypes.
- Medical, dental, and vision benefits for full-time consultants.
- 401(k) contributions and applicable PTO and sick leave benefits.
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