AI Platform Architect

Apolis

Dallas City, IL

AI Platform Architect

Position in Dallas, US (Onsite)

Basic Qualifications:

8 years in software architecture with strong focus on distributed systems
Proficiency in Python, JavaScript
Strong communication and architecture storytelling skills

Required Skills:

Proven experience with LLMs, RAG architectures, and agentic systems (including agent harness and skill building)
Deep understanding of agent orchestration, async/streaming patterns
Strong hands-on expertise with Kubernetes and cloud-native/serverless architectures
Experience designing AI platform components (gateways, observability, agent infrastructure)
Experience with multi-agent frameworks (for example LangGraph, ADK) and emerging agent ecosystems
Familiarity with LLMOps, evaluation frameworks, and AI governance
Experience in GCP services such as BigQuery, Composer, Dataflow, Dataproc, Cloud function, Pub/Sub, and Cloud Storage
Experience in implementation of security, governance, and compliance standards across GCP environments

Preferred Qualifications:

Experience with enterprise-scale AI platform deployments

Role and Responsibilities:

Design end-to-end architectures for AI platforms leveraging RAG, agentic systems, and LLM-based applications
Define and implement agentic patterns, including streaming, async workflows, multi-agent orchestration, and agent harness & skill development
Architect platform components such as AI/LLM Gateways, agent frameworks, identity layers, and skill orchestration
Build scalable solutions on Kubernetes and serverless cloud services
Lead architecture across Amazon Web Services and/or Google Cloud Platform (GCP)
Drive best practices for reliability, scalability, and performance of AI systems
Translate complex AI capabilities into clear architectural narratives and business solutions

Job Description:

Seeking experienced AI Platform Architect to design and lead next-generation AI systems built on LLMs and agentic frameworks. This role focuses on architecting scalable, production-grade AI platforms across cloud environments, with strong emphasis on RAG, agent orchestration, agent harness/skill building, observability, and gateway patterns.

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Vacancy posted 1 day ago

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