Principal AI Architect
Tricentis · Austin, United States
About The Role
Join our team as a Principal AI Architect, where you will architect, design, and evolve a scalable and secure AI platform. You will drive strategic decision-making across various AI-related areas, collaborate cross-functionally, and lead engineering teams. You will also provide architectural direction for Agentic AI systems, design and implement LLMOps and AIOps practices, and define guardrails for agent interactions and memory usage. Additionally, you will establish processes for metadata extraction and management, define AI/ML technical capabilities, and develop and maintain AI reference architectures and best practices.
- Architect, design, and evolve a scalable, secure AI platform and reference architecture.
- Drive strategic decision-making across model selection, fine-tuning, data pipelines, and inference optimization.
- Collaborate cross-functionally with Product, Engineering, Architecture, and UX to define AI requirements and priorities.
- Proven ability to lead large-scale architectural initiatives and influence cross-functional decisions
- Hands-on experience with AI and ML systems in production environments
- 8+ years of experience as a Senior, Lead, or Principal Engineer/Architect
- Strong programming proficiency in: Python (expert-level required) Java, TypeScript, Node.js, or similar
- Experience with AI frameworks such as: LangGraph LangChain LlamaIndex Semantic Kernel AutoGen
- Hands-on experience with Agentic AI patterns, including: Autonomous agents Tool usage Multi-agent coordination Goal-directed planning
- Deep experience with: Large Language Models (LLMs) Embeddings Vector databases RAG architectures Model serving frameworks
- Experience with: Containerization Serverless technologies Distributed systems
- Strong background in cloud platforms: AWS, Azure, or GCP
- Solid understanding of: API integration patterns Messaging systems Event-driven architectures
- Experience designing secure AI systems, including: Data privacy Encryption Compliance Responsible AI practices
- Proven experience building scalable, high-performance distributed systems
- Hands-on experience with: Microservices architectures Domain-driven design (DDD) Platform engineering
- Excellent communication, problem-solving, and technical leadership skills
- Ability to influence and align teams across organizational boundaries
- If you are passionate about AI and ready to tackle complex and impactful challenges, we encourage you to apply
- Applicants must be authorized to work in the U.S. without current or future sponsorship
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