We are seeking a Principal AI Architect to design and evolve a scalable and secure AI platform and reference architecture. The ideal candidate will have 8+ years of experience in AI and ML systems and strong proficiency in programming languages such as Python.
Requirements
- Architect, design, and evolve a scalable and secure AI platform and reference architecture
- Drive strategic decision making across model selection, fine-tuning, retrieval augmented generation (RAG), agent frameworks, data pipelines, and inference optimization
- Evaluate and integrate open source and commercial LLMs, vector databases, feature stores, and MLOps platforms
- Collaborate with product management, engineering, architecture, and UX to define AI requirements, priorities, and architectural direction
- Lead and influence engineering teams through both direct and indirect contributions, fostering a culture of innovation and architectural excellence
- Participate in and lead architecture reviews, technical governance, and long-term platform planning
- Provide architectural direction for building Agentic AI systems
- Design and implement LLMOps and AIOps practices for production agent systems
- Drive observability and AIOps practices for monitoring agent behavior and system performance
- Define guardrails for agent interactions, memory usage, and context boundaries to ensure safety and reliability
- Define and enforce target state and reference architectures, principles, guardrails, and standards for AI/ML
- Establish processes for extracting metadata and implement metadata management for granular access control
- Define AI/ML technical capabilities—including generative AI systems, data pipelines, model deployment strategies, MLOps frameworks etc.
- Define AI reference architecture, standards, and best practices
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Tuition Reimbursement
- Relocation Assistance