Principal AI Architect

Skylar IT Consulting LLC is hiring a Principal AI Architect to define the reference architecture and roadmap for a client’s AI Center of Excellence on Google Cloud. The role combines hands-on delivery of production AI systems with ownership of AI infrastructure, MLOps, governance, and enablement.

Responsibilities:

• Define and maintain the enterprise AI reference architecture and AI plane, covering model access, retrieval, agent orchestration, evaluation, guardrails, observability, and governance
• Develop and execute an AI CoE roadmap aligned with business objectives, supported by architecture decision records, reusable patterns, and reference implementations
• Embed with business and engineering teams to scope, prototype, and deploy LLM and agentic solutions into production
• Lead the end-to-end lifecycle of AI projects: data engineering, model or prompt development, testing, and deployment on GCP
• Design AI solutions for predictive analytics, intelligent automation, and real-time decision systems (e.g., BigQuery, Pub/Sub, Dataflow)
• Build and optimize infrastructure for LLM serving, fine-tuning, and distributed training on GPUs and TPUs
• Implement MLOps for model deployment, monitoring, and lifecycle management
• Establish evaluation harnesses, guardrails, and responsible AI controls covering bias, fairness, security, and regulatory compliance
• Partner with security, legal, and compliance teams on AI risk assessment, data residency, and governance
• Enable internal teams through standards, templates, runbooks, and training so they can operate and extend AI solutions independently
• Mentor engineers and foster collaboration between AI teams and cross-functional departments